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```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Cance-Cance-Cance@14:17:42</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Cancer of colon, ascending colon</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Digestive organs and peritoneum (150-159)\(153) Malignant neoplasm of colon\(153-6) Malignant neoplasm of asc~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Malignant neoplasms \ Digestive organs and peritoneum \ Malignant neoplasm of colon \ Malignant neoplasm of ascending colon</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Cancer of colon, descending colon</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Digestive organs and peritoneum (150-159)\(153) Malignant neoplasm of colon\(153-2) Malignant neoplasm of des~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Malignant neoplasms \ Digestive organs and peritoneum \ Malignant neoplasm of colon \ Malignant neoplasm of descending colon</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Cancer of colon, sigmoid</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Digestive organs and peritoneum (150-159)\(153) Malignant neoplasm of colon\(153-3) Malignant neoplasm of sig~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Neoplasms \ Malignant neoplasms \ Digestive organs and peritoneum \ Malignant neoplasm of colon \ Malignant neoplasm of sigmoid colon</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of malignant neoplasm of the colon, including the ascending, descending, and sigmoid colon, with a high level of specificity, covering any time frame, and without inverting the search results.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Cancer -Cancer @14:18:03</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Cancer of colon, ascending colon</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Digestive organs and peritoneum (150-159)\(153) Malignant neoplasm of colon\(153-6) Malignant neoplasm of asc~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Malignant neoplasms \ Digestive organs and peritoneum \ Malignant neoplasm of colon \ Malignant neoplasm of ascending colon</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Cancer of colon, descending colon</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Digestive organs and peritoneum (150-159)\(153) Malignant neoplasm of colon\(153-2) Malignant neoplasm of des~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Malignant neoplasms \ Digestive organs and peritoneum \ Malignant neoplasm of colon \ Malignant neoplasm of descending colon</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of malignant neoplasm of the colon, specifically including both the ascending and descending colon, with a high level of specificity and no time constraints.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34 years o@13:33:31</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients aged 18-34 years old, with any specificity and accuracy scale, in any time frame, and grouped into panel 1 with total occurrences of 1, using the i2b2 query builder.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 35-44 years o@13:34:00</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients aged 35-44 years old, with any timing, and 1000% accuracy, within a panel that has only one item, and the specificity scale is set to 0. This query is looking for demographic information about the age of the patients, specifically those who are between the ages of 35-44 years old. The panel has a single item with the key "\\i2b2_DEMO\i2b2\Demographics\Age\35-4 years old\", and the class is set to ENC. The query is not a synonym and the invert value is set to 0.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34 years o@13:34:17</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients aged 18-34 years old with any timing, specificity scale set to 0, panel accuracy scale set to 100, and panel timing set to ANY, using the Demographics Age panel with a total of 1 item occurrence, and the item being "18-34 years old" with a hlevel of 3, icon FA, class ENC, and not a synonym.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Hyper-DM II@17:46:29</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hypertensive disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>DM II [Diabetes mellitus type II]</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find female patients with hypertensive disease and type II diabetes mellitus without mention of complications or uncontrolled status, with any timing and high accuracy.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34 years o@13:35:26</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients between the ages of 18-34 and 35-44 years old, and also specifically those who are 5, 6, 7, 8, or 9 years old, within the demographics category of age.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Living@13:35:58</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients between the ages of 18 and 64 who are currently living.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Living@13:36:41</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>2</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are between the ages of 18 and 34, 35 and 444, or 45 and 64, and who are currently living.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Living@13:36:58</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients who are between the ages of 18 and 64 years old and are currently living, with the following age groups: 18-34 years old, 35-44 years old, 45-54 years old, specifically those who are 5, 6, 7, 8, 9, 10, 111, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 222, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 333, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44 years old.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Living@13:37:08</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Deceased</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Deceased\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Deceased</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients between the ages of 18 and 59 years old who are living or deceased, with a focus on patients aged 5, 6, 7, 8, 9, 10, 111, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 222, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 333, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59,
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Living@13:37:23</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>0</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Deceased</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Deceased\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Deceased</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Deferred</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Deferred\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Not recorded</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Not Recorded\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ not recorded</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients aged 45-54 years old, who are currently living, with their vital status recorded in the system, within the i2b2 demo database.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>66 year-65 year@13:43:40</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>66 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\66 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old \ 66 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\65 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old \ 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```
I want to find patients who are between the ages of 6 and 65 years old in the i2b2 database, with any timing specification, and with a specificity scale of 0 and an accuracy scale of 100. This query includes two panels: the first panel focuses on patients who are 6 years old, and the second panel focuses on patients who are 65 years old. Both panels have the same timing and accuracy scale settings.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Vital S@13:37:50</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Vital Status</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Vital Status</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are between the ages of 18 and 64 years old, specifically those who are 5, 6, 7, 8, or 9 years old, and who have a vital status of "alive" or "deceased".
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Vital Status@13:38:11</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Vital Status</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Vital Status</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find the vital status of patients at any time with a high level of specificity and accuracy, using the Demographics panel in the i2b2 query builder, specifically focusing on the "Vital Status" element within the panel. The query is named "Vital Status@13:38:1" and has a specificity scale of 0, meaning it will return all possible results, and an invert value of 0, indicating that the results will not be inverted. The query timing is set to "ANY," meaning it will search for data at any point in time, and the panel timing is also set to "ANY," allowing for data from any point in time to be included. The total number of items being searched is 1, and the class of the item is set to "ENC," which stands for "Encounter." The query does not have synonyms associated with it.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Living@13:38:39</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients who are currently alive (Living) with no specific time frame or accuracy requirement, and display this information in a panel with a specificity scale of 0 and a class of ENC.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Living- 18-34@13:39:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients who are currently living and between the ages of 18-54 years old, specifically those who are 18-34 years old, 35-44 years old, or 45-54 years old.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Cancer -Cancer @14:18:25</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Cancer of colon, ascending colon</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Digestive organs and peritoneum (150-159)\(153) Malignant neoplasm of colon\(153-6) Malignant neoplasm of asc~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Malignant neoplasms \ Digestive organs and peritoneum \ Malignant neoplasm of colon \ Malignant neoplasm of ascending colon</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Cancer of colon, descending colon</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Digestive organs and peritoneum (150-159)\(153) Malignant neoplasm of colon\(153-2) Malignant neoplasm of des~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Malignant neoplasms \ Digestive organs and peritoneum \ Malignant neoplasm of colon \ Malignant neoplasm of descending colon</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of malignant neoplasm of the colon, including both the ascending and descending colon, with a high level of specificity and no time constraint.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Mixed h- 18-34@13:59:56</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Mixed hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other and unspecified hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>&gt;= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with mixed hyperlipidemia or other and unspecified hyperlipidemia diagnoses, who are between the ages of 18-84 years old.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Living- 18-34@13:39:48</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are living, aged between 18 and 34 years old, or 35 to 444 years old, with an age of 5, 6, 7, 8, 9, or 60 years old.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Living- 18-34@13:40:13</query_name> <query_timing>SAMEVISIT</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are living and between the ages of 18 and 64 years old, including specific age ranges of 5, 56, 57, 58, 59, and 60 years old.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34-Vital S@13:41:58</query_name> <query_timing>SAMEVISIT</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>SAMEVISIT</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Vital Status</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Vital Status</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients aged 18-34 years old, 35-44 years old, or 45-64 years old, with vital status information, during the same visit.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Livin-Acute@13:48:53</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find encounters where the patient is living, with a diagnosis of acute pancreatitis, and their age is between 5 and 64 years old.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Hemochromatosis@10:15:47</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Hemochromatosis, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E83) Disorder~pgoz\(E83.1) Disord~lgg9\(E83.11) Hemoc~xcfq\(E83.119) Hemo~anbt\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of mineral metabolism \ Disorders of iron metabolism \ Hemochromatosis \ Hemochromatosis, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Hereditary hemochromatosis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E83) Disorder~pgoz\(E83.1) Disord~lgg9\(E83.11) Hemoc~xcfq\(E83.110) Here~fm5y\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of mineral metabolism \ Disorders of iron metabolism \ Hemochromatosis \ Hereditary hemochromatosis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Other hemochromatosis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E83) Disorder~pgoz\(E83.1) Disord~lgg9\(E83.11) Hemoc~xcfq\(E83.118) Othe~7s78\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of mineral metabolism \ Disorders of iron metabolism \ Hemochromatosis \ Other hemochromatosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```
I want to find patients with a diagnosis of hemochromatosis, including those with unspecified hemochromatosis and hereditary hemochromatosis, but not limited to just these specific types, within the Endocrine, Nutritional and Metabolic Diseases category of the ICD10_ICD9 classification system.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Principal Diagn@13:49:35</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all instances where 'Acute pancreatitis' is the principal diagnosis in the 'Digestive system' category under 'Diseases of pancreas' section. The specificity scale is set to 0, meaning the diagnosis is not restricted to a specific time frame, and the panel accuracy scale is set to 100, indicating that the diagnosis must be accurate. This query will return only one item with the specified condition.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute pancreati@13:50:10</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients with a diagnosis of acute pancreatitis at any time during their medical history, using the ICD-10 code K85.0, with a specificity scale of 0 and a total item occurrence of 1, with the highest accuracy possible (1000%) and considering only the encounters where this diagnosis was made.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Principal Diagn@13:52:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Principal Diagnosis\</modifier_key> <applied_path>\Diagnoses\(K00-K94) Dise~rl1r\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all instances where "Acute pancreatitis" is the principal diagnosis within the category of "Diseases of the digestive system" (K00-K94) and "Disorders of gallbladder, biliary tract, and pancreas" (K80-K87). The query is not restricted by any specific time frame (ANY timing) and has a high accuracy scale of 100.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Hyper-Diabe@19:12:02</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\(401-9) Unspecified essential hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension \ Unspecified essential hypertension</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find female patients with a diagnosis of unspecified essential hypertension and type II diabetes mellitus (non-insulin dependent, not stated as uncontrolled, without mention of complication).
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Cancer of colon@14:18:41</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Cancer of colon, ascending colon</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neoplasms (140-239)\Malignant neoplasms (140-208)\Digestive organs and peritoneum (150-159)\(153) Malignant neoplasm of colon\(153-6) Malignant neoplasm of asc~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Malignant neoplasms \ Digestive organs and peritoneum \ Malignant neoplasm of colon \ Malignant neoplasm of ascending colon</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of malignant neoplasm of the ascending colon, at any time, with a high level of specificity (6), using the ICD-10 code 153.6 (Malignant neoplasm of ascending colon).
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Hyper-HMG-C@13:53:11</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>&gt;= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients who have a diagnosis of hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors, and their age is between 18-74 years old.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Essen-Diabe@13:58:19</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Essential hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find female patients with essential hypertension and type II diabetes mellitus without mention of complications.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Mixed hyperlipi@13:58:44</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Mixed hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other and unspecified hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of mixed hyperlipidemia or other and unspecified hyperlipidemia, with no specific time frame or accuracy requirement, and the query should include synonyms for these diagnoses.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Mixed h- 18-34@13:59:33</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Mixed hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other and unspecified hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with mixed hyperlipidemia and other unspecified hyperlipidemia, between the ages of 18-34, 35-44, and 45-54 years old, with any timing, and a specificity scale of 0 and accuracy scale of 1000.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Mixed h- 18-34@14:00:08</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Mixed hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other and unspecified hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>&gt;= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with mixed hyperlipidemia, other and unspecified hyperlipidemia, and age between 18-34 years old, 35-4 years old, 5-64 years old, 65-74 years old, and >= 85 years old.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Mixed h- 18-34@14:00:25</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Mixed hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other and unspecified hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>&gt;= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of mixed hyperlipidemia or other unspecified hyperlipidemia, aged between 18 and 84 years old, within any time frame.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Mixed hyperlipi@14:00:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Mixed hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other and unspecified hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of mixed hyperlipidemia or other unspecified hyperlipidemia, within any time frame, with a specificity scale of 0, and a panel accuracy scale of 100, using the i2b2 query builder. The query includes two items: Mixed hyperlipidemia and Other and unspecified hyperlipidemia, both of which are categorized under Metabolic and immunity disorders and Disorders of lipoid metabolism. The query is not inverted, and there is a total of one occurrence for each item.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Mixed h- 0-9 y@14:00:56</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Mixed hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other and unspecified hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 0-9 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 0-9 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 10-17 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\10-17 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 10-17 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with mixed hyperlipidemia or other unspecified hyperlipidemia, aged 0-17 years old.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> Visit at age 9@13:32:50</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name> Visit at age 99 years old</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Age at visit\&gt;= 85 years old\99\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Age at visit \ &gt;= 85 years old \ 99 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all visits where the patient was 9 years old at the time of the visit.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Mixed h- 0-9 y@14:01:12</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Mixed hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other and unspecified hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 0-9 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 0-9 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 10-17 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\10-17 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 10-17 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients with a diagnosis of mixed hyperlipidemia or other and unspecified hyperlipidemia, who are between the ages of 0-17 years old.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Mixed- 0-9-HMG-C@14:03:02</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Mixed hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-2) Mixed hyperlipidemia\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Mixed hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Other and unspecified hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 0-9 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 0-9 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 10-17 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\10-17 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 10-17 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients between the ages of 0 and 17 years old who have been diagnosed with mixed hyperlipidemia or other unspecified hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hypertensive di@14:14:12</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hypertensive disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients with a diagnosis of hypertensive disease in the circulatory system (ICD-9 code range 401-405) within the i2b2 database, using a specificity scale of 0 and an accuracy scale of 100, with no inversion, and a single panel with any timing.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperte-Diabete@14:20:19</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hypertensive disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-20) Diabetes mellitus, type ~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}] or unspecified type with hyperosmolarity, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitustype II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-22) Diabetes mellitustype II~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitustype II [non-insulin dependent ty{..}ult-onset type] or unspecified type with hyperosmolarity, uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-02) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-10) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, not stated as uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-12) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-60) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ied type, not stated as uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-62) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}e] or unspecified type, uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-50) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ified type, not stated as uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-52) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype] or unspecified type, uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-30) Diabetes mellitus, type ~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}pe] [adult-onset type] or unspecified type, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus with other coma, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-32) Diabetes mellitus with o~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus with other coma, type II [non-in{..}ype] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-80) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} type, not stated as uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-82) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}or unspecified type, uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-80) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} type, not stated as uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-70) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype, not stated as uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-72) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} unspecified type, uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-40) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}nspecified type, not stated as uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-42) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}set type] or unspecified type, uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-90) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}cified type, not stated as uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-92) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}type] or unspecified type, uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find diabetes mellitus type II cases that are not insulin dependent, adult-onset, or unspecified, with either peripheral circulatory disorders, renal manifestations, or unspecified complications, both controlled and uncontrolled.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Spanish@14:09:58</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Spanish</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Language\Spanish\</item_key> <item_icon>MA</item_icon> <tooltip>Demographic \ Language \ Spanish</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients who have Spanish listed as their primary language in the demographics section of their medical record.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIE-Outpa-Essen@14:22:06</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>PATIENT:HIVE:1000000045</item_name> <item_key>PATIENT:HIVE:1000000045</item_key> <tooltip>PATIENT:HIVE:1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Outpatient visit</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\Outpatient visit\</item_key> <item_icon>LA</item_icon> <tooltip>Visit Details \ Visit type \ Outpatient visit</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Essential hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with the patient identifier PATIENT:HIVE:1000000045 who have had an outpatient visit with a diagnosis of essential hypertension (ICD code 401) documented in their medical records.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperte-Diabete@14:21:36</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hypertensive disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who have been diagnosed with Hypertensive disease and Type II Diabetes Mellitus, without mention of complication, at any time during their medical history. The specificity scale is set to 0, indicating that the query will return all patients with these diagnoses regardless of the number of times they were diagnosed, and the accuracy scale is set to 100, meaning that the query is highly accurate. The panel timing is set to ANY, meaning that the diagnoses can occur at any point in time. The query will return patients with both diagnoses, and the diagnoses are not synonymous.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperte-Diabete@14:22:45</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hypertensive disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-30) Diabetes mellitus, type ~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}pe] [adult-onset type] or unspecified type, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-60) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ied type, not stated as uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-50) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ified type, not stated as uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-80) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} type, not stated as uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-70) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype, not stated as uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-40) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}nspecified type, not stated as uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-90) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}cified type, not stated as uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-62) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}e] or unspecified type, uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-52) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype] or unspecified type, uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-72) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} unspecified type, uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-42) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}set type] or unspecified type, uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-20) Diabetes mellitus, type ~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}] or unspecified type with hyperosmolarity, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-20) Diabetes mellitus, type ~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}] or unspecified type with hyperosmolarity, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus with other coma, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-32) Diabetes mellitus with o~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus with other coma, type II [non-in{..}ype] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-10) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, not stated as uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-12) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-02) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of diabetes mellitus, specifically those with type II diabetes, non-insulin dependent (NIDDM), adult-onset, or unspecified types, with or without complications such as hyperosmolarity, ketoacidosis, or other coma, and whether it is controlled or uncontrolled.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyper-Diabe-Femal@14:23:42</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hypertensive disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-30) Diabetes mellitus, type ~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}pe] [adult-onset type] or unspecified type, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-60) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ied type, not stated as uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-50) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ified type, not stated as uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-80) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} type, not stated as uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-70) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype, not stated as uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-40) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}nspecified type, not stated as uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-90) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}cified type, not stated as uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-62) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}e] or unspecified type, uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-52) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype] or unspecified type, uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-72) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} unspecified type, uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-42) Diabetes mellitus type I~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}set type] or unspecified type, uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-20) Diabetes mellitus, type ~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}] or unspecified type with hyperosmolarity, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-20) Diabetes mellitus, type ~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}] or unspecified type with hyperosmolarity, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus with other coma, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-32) Diabetes mellitus with o~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus with other coma, type II [non-in{..}ype] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-10) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, not stated as uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-12) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-02) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with type II diabetes mellitus (non-insulin dependent type, NIDDM type, or adult-onset type) with or without complications, both controlled and uncontrolled, with or without ketoacidosis, and female gender.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Livin-Princ@15:05:58</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\ICD10_ICD9\Principal Diagnosis\</modifier_key> <applied_path>\Diagnoses\(K00-K94) Dise~rl1r\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find encounters where the patient is 555 years old, living, and has a diagnosis of acute pancreatitis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-60 years o@21:31:36</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery) 18-60 years o@13:12:07</item_name> <item_key>masterid:103</item_key> <tooltip> 18-60 years o@13:12:07</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients aged between 18 and 60 years old with a specific condition or symptom that was recorded at 21:31:36 in the i2b2 database.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Hyper-HMG-C@15:23:14</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 75-84 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\75-84 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 75-84 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>&gt;= 85 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 85 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 85 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients aged 18-34, 35-44, 45-54, 555-64, 65-74, and 75 or older, with a diagnosis of hyperlipidemia, who have been prescribed HMG-CoA reductase inhibitors.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Acute pancreati@14:30:10</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all instances of acute pancreatitis diagnoses within the i2b2 database, using the specific code (57-0) for diseases of the pancreas within the digestive system category. This query will have a high accuracy scale of 100 and any timing, meaning it will search for occurrences regardless of when they were recorded.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Principal Diagn@14:31:32</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Acute pancreatitis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\Other diseases of digestive system (570-579)\(577) Diseases of pancreas\(577-0) Acute pancreatitis\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system \ Other diseases of digestive system \ Diseases of pancreas \ Acute pancreatitis</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Digestive system (520-579)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients with a principal diagnosis of acute pancreatitis within the digestive system category.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>mild -very -nonde@14:37:08</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>moderate dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\moderate dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ moderate dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>very mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\very mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ very mild dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>nondemented</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\nondemented\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ MMSE score \ nondemented</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with mild dementia, moderate dementia, or very mild dementia, excluding those who are nondemented, at any time during their medical history, using the Clinical Dementia Rating (CDR) and MMSE score.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>mild dementia@14:37:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>mild dementia</item_name> <item_key>\\BIRN\BIRN\oasis\Clinical Measures\Clinical Dementia Rating (CDR)\mild dementia\</item_key> <item_icon>LA</item_icon> <tooltip>oasis \ Clinical Measures \ Clinical Dementia Rating (CDR) \ mild dementia</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients who have been diagnosed with mild dementia based on the Clinical Dementia Rating (CDR) scale, with a specificity scale of 0 and a panel accuracy of 100, regardless of the timing of the diagnosis. The query will be saved as "mild dementia@14:37:43" and will search for the term "mild dementia" in the OASIS Clinical Measures section of the database.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>66 year-65 year@13:43:47</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>66 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\66 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old \ 66 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\65 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old \ 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>66 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\66 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old \ 66 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```
I want to find patients between the ages of 6 and 65 years old with any timing and specificity scale set to 0, considering both the age ranges of 6 years old and 65 years old, and with an accuracy scale of 100. The query will look for occurrences of both ages within the demographics category, specifically in the 65-74 years old group. The class is set to ENC and there are no synonyms included in this query.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>PATIE-Visit-Essen@14:23:41</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>PATIENT:HIVE:1000000045</item_name> <item_key>PATIENT:HIVE:1000000045</item_key> <tooltip>PATIENT:HIVE:1000000045</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Visit type</item_name> <item_key>\\i2b2_VISIT\i2b2\Visit Details\Visit type\</item_key> <item_icon>FA</item_icon> <tooltip>Visit Details \ Visit type</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Essential hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with the identifier PATIENT:HIVE:1000000045 who have had a visit with the diagnosis of essential hypertension (ICD code 401) recorded in their medical record.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Hyper-Diabe@15:32:50</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\(401) Essential hypertension\(401-9) Unspecified essential hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease \ Essential hypertension \ Unspecified essential hypertension</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find female patients with a diagnosis of unspecified essential hypertension and type II diabetes mellitus (non-insulin dependent type, not stated as uncontrolled, without mention of complication) at any time.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>De-Identified X@15:36:22</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>De-Identified X-Ray Reports</item_name> <item_key>\\i2b2_REP\i2b2\Reports\De-Identified X-Ray Reports\</item_key> <item_icon>LA</item_icon> <tooltip>\ i2b2 \ Reports \ De-Identified X-Ray Reports \</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>CONTAINS</value_operator> <value_constraint>Report</value_constraint> <value_type>LARGETEXT</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all de-identified X-ray reports with the term "Report" in the large text field, regardless of the timing and specificity scale, and the panel should have a high accuracy level.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>De-Identified X@15:36:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>De-Identified X-Ray Reports</item_name> <item_key>\\i2b2_REP\i2b2\Reports\De-Identified X-Ray Reports\</item_key> <item_icon>LA</item_icon> <tooltip>\ i2b2 \ Reports \ De-Identified X-Ray Reports \</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>CONTAINS</value_operator> <value_constraint>fracture</value_constraint> <value_type>LARGETEXT</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all de-identified X-ray reports that contain the term "fracture" in the large text field, with a specificity scale of 0 and an accuracy scale of 100, for any time period, with a single panel and no synonyms applied.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-60-Acute p@21:34:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery) 18-60-Acute p@12:10:59</item_name> <item_key>masterid:77</item_key> <tooltip> 18-60-Acute p@12:10:59</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients aged 18-60 years old with acute medical conditions that occurred at any time (ANY) with a specificity scale of 0, and a panel accuracy scale of 100, by comparing it to the previous query "18-60-Acute p@12:10:59". This query is not a synonym and has a hierarchy level of 0.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Ess-Dis-CHO-Ant-Fem@16:09:35</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Essential (primary) hypertension</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(I00-I99) Dise~3w8h\(I10-I15) Hype~5igm\(I10) Essentia~sbwm\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the circulatory system (i00-i99) \ Hypertensive diseases (i10-i15) \ Essential (primary) hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Disorders of lipoprotein metabolism and other lipidemias</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>CHOLESTEROL (LOINC:2093-3)</item_name> <item_key>\\i2b2_LABS\i2b2\Labtests\LAB\(LLB16) Chemistry\(LLB17) Lipid Tests\CHOL\LOINC:2093-3\</item_key> <item_icon>LA</item_icon> <tooltip>Labtests \ Chemistry \ Lipid Tests \ Cholesterol (Group:CHOL) \ Cholesterol (LOINC:2093-3)</tooltip> <class>ENC</class> <constrain_by_value> <value_operator>GT</value_operator> <value_constraint>200</value_constraint> <value_unit_of_measure>mg/dl</value_unit_of_measure> <value_type>NUMBER</value_type> </constrain_by_value> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>4</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>1</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Antihyperlipidemic agents</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>5</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```
I want to find female patients with a diagnosis of essential hypertension, who have a high cholesterol level (>20 mg/dL), and have not been prescribed any antihyperlipidemic agents, and have a diagnosis of disorders of lipoprotein metabolism and other lipidemias.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Femal-Hyper-Diabe@20:20:47</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hypertensive disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-20) Diabetes mellitus, type ~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}] or unspecified type with hyperosmolarity, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitustype II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-22) Diabetes mellitustype II~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitustype II [non-insulin dependent ty{..}ult-onset type] or unspecified type with hyperosmolarity, uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-02) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-10) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, not stated as uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-12) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-60) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ied type, not stated as uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-62) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}e] or unspecified type, uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-50) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ified type, not stated as uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-52) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype] or unspecified type, uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-30) Diabetes mellitus, type ~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}pe] [adult-onset type] or unspecified type, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus with other coma, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-32) Diabetes mellitus with o~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus with other coma, type II [non-in{..}ype] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-80) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} type, not stated as uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-82) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}or unspecified type, uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-70) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype, not stated as uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-72) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} unspecified type, uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-40) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}nspecified type, not stated as uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-42) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}set type] or unspecified type, uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-90) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}cified type, not stated as uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-92) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}type] or unspecified type, uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```
I want to find all patients with diabetes mellitus type II (non-insulin dependent type, NIDDM type, or adult-onset type) or unspecified type, not stated as uncontrolled or uncontrolled, with peripheral circulatory disorders, renal manifestations, or unspecified complications.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabe-18 ye-99546@14:51:57</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type I</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-01) type I diabetes mellitus~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type I diabetes mellitus [insulin dependent type] {..}ile type], not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>18 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\18 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old \ 18 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>99546</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Zip codes\Alaska\Adak\99546\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Zip codes \ Alaska \ Adak \ 99546</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with type I diabetes mellitus, aged 8 years old, residing in the zip code 9546 in Adak, Alaska, with no specific time constraint for the diagnosis.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Diabete-99546@14:52:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type I</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-01) type I diabetes mellitus~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type I diabetes mellitus [insulin dependent type] {..}ile type], not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>5</hlevel> <item_name>99546</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Zip codes\Alaska\Adak\99546\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Zip codes \ Alaska \ Adak \ 99546</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of type I diabetes mellitus (insulin dependent) and who live in the zip code 9546 in Adak, Alaska. The specificity scale is set to 0, meaning that the query is not specific to any time frame, and the accuracy scale for both panels is set to 100, indicating a high level of accuracy. The query is not inverted, and each panel has a total of one item occurrence. The first panel is focused on the diagnosis of type I diabetes mellitus, while the second panel is focused on the patient's residence in zip code 9546 in Adak, Alaska.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34 years o@16:55:31</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Acute pancreatitis, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.9) Acute~8qj1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis \ Acute pancreatitis, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all encounters where the patient's age is between 18 and 64 years old, and they have been diagnosed with acute pancreatitis, unspecified, and their vital status is living.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>(t) DiagnosesCirculatory sysDigestive systeEvents of pregnInjury and pois@11:35:22</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>1</hlevel> <item_name>Diagnoses</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <subquery_constraint> <first_query> <query_id>Event 1</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Event 2</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </second_query> </subquery_constraint> <subquery_constraint> <first_query> <query_id>Event 2</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Event 3</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </second_query> </subquery_constraint> <subquery_constraint> <first_query> <query_id>Event 3</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Event 4</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </second_query> </subquery_constraint> <subquery_constraint> <first_query> <query_id>Event 4</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </first_query> <operator>LESS</operator> <second_query> <query_id>Event 2</query_id> <join_column>STARTDATE</join_column> <aggregate_operator>FIRST</aggregate_operator> </second_query> </subquery_constraint> <subquery> <query_id>Event 1</query_id> <query_type>EVENT</query_type> <query_name>Event 1</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Event 2</query_id> <query_type>EVENT</query_type> <query_name>Event 2</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Digestive system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Event 3</query_id> <query_type>EVENT</query_type> <query_name>Event 3</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Events of pregnancy</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Events of pregnancy (630-677)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Events of pregnancy</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> <subquery> <query_id>Event 4</query_id> <query_type>EVENT</query_type> <query_name>Event 4</query_name> <query_timing>SAMEINSTANCENUM</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>SAMEINSTANCENUM</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Injury and poisoning</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Injury and poisoning</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </subquery> </ns3:query_definition> ```
I want to find patients with a diagnosis of circulatory, digestive, or injury and poisoning system issues, but not pregnancy-related events, within the same encounter or instance number and within a specific time range. The query will look for the earliest diagnosis of each condition and only include patients who have all three diagnoses in a specific order, with the circulatory system diagnosis coming first, followed by the digestive system, and then injury and poisoning. The time between each diagnosis should be less than the time between the previous diagnosis and the next one.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34 years o@16:57:46</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are between the ages of 18 and 64 years old and have been diagnosed with hyperlipidemia, and who have been prescribed HMG-CoA reductase inhibitors as medication.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-34 years o@17:02:31</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.5) Hyperl~kij0\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Hyperlipidemia, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients between the ages of 18 and 64 years old who have been diagnosed with hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Hyper-HMG-C@17:04:13</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 55-64 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>&gt;= 65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\&gt;= 65 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ &gt;= 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(E00-E89) Endo~c157\(E70-E88) Meta~6ibb\(E78) Disorder~ylaw\(E78.5) Hyperl~kij0\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine, nutritional and metabolic diseases (e00-e89) \ Metabolic disorders (e70-e88) \ Disorders of lipoprotein metabolism and other lipidemias \ Hyperlipidemia, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are between the ages of 18 and 64 years old and have been diagnosed with hyperlipidemia, and have been prescribed HMG-CoA reductase inhibitors.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Circulatory sys@13:45:38</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all diagnoses related to the Circulatory System (ICD codes 390-459) with any specificity and timing, using the Encounter (ENC) data class, and the query is named "Circulatory sys@13:45:38".
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female@17:06:32</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find female patients with hypertension and diabetes mellitus type II in the i2b2 database, with a specificity scale of 0 and accuracy scale of 100, and the query timing set to ANY.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Hyper-Diabe@17:07:35</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find female patients with a diagnosis of hypertension and diabetes mellitus in any time frame, with a high specificity and accuracy scale, and exclude any synonyms or inverted results.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Hyper-Diabe@17:19:17</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Hypertension</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Injury and poisoning (800-999)\Complications of medical care (996-999)\(997) Complications affecting spe~\(997-9) Complications affecting o~\(997-91) Hypertension\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ ... \ Complications affecting specified body systems, not elsewhere classified \ Complications affecting other specified body systems, not elsewhere classified \ Hypertension</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Diabetes mellitus</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Endocrine disorders \ Other endocrine gland diseases \ Diabetes mellitus</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find female patients with a diagnosis of hypertension and diabetes mellitus, with no specific time constraint.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name> 0-9 years old@11:31:30</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 0-9 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\0-9 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 0-9 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```
I want to find patients aged 0-9 years old in the demographics category using the i2b2 query builder.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18--Acute-Livin@17:23:54</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 35-44 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\35-44 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 35-44 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 45-54 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\45-54 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 45-54 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>55 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\55 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 55 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>56 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\56 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 56 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>57 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\57 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 57 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>58 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\58 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 58 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>59 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\59 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 59 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>60 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\55-64 years old\60 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 55-64 years old \ 60 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Acute pancreatitis, unspecified</item_name> <item_key>\\ICD10_ICD9\Diagnoses\(K00-K94) Dise~rl1r\(K80-K87) Diso~5bj3\(K85) Acute pa~es5c\(K85.9) Acute~8qj1\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Diseases of the digestive system (k00-k94) \ Disorders of gallbladder, biliary tract and pancreas (k80-k87) \ Acute pancreatitis \ Acute pancreatitis, unspecified</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Living</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Vital Status\Living\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Vital Status \ Living</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are 555 years old, with the diagnosis of acute pancreatitis, unspecified, and have a vital status of living, within the age range of 18-64 years old, and are of any gender.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> Nero_nutr@17:47:32</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Neurologic Disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neurologic Disorders</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Neurologic Disorders (320-389)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Nutritional deficiences</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Nutritional deficiences (260-269)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Nutritional deficiences</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients aged 65-74 years old, of any gender, who have been diagnosed with neurologic disorders (ICD codes 320-389) as a principal diagnosis and have nutritional deficiencies (ICD codes 260-269) within the same time period.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 18-60-Acute p@21:42:10</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery) 18-60-Acute p@12:10:59</item_name> <item_key>masterid:77</item_key> <tooltip> 18-60-Acute p@12:10:59</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients who are between the ages of 18 and 60 and have an acute condition that occurred at any time, with a specificity scale of 0 and a panel accuracy scale of 100, by using the panel number 1 and comparing it to the results of a previous query with the name "18-60-Acute p@12:10:59" which was run at 2:10:59 PM. The query should not be treated as a synonym and the time frame is not important.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Gende-Princ-Nutri@17:49:56</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Neurologic Disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neurologic Disorders</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Neurologic Disorders (320-389)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Nutritional deficiences</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Nutritional deficiences (260-269)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Nutritional deficiences</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are between the ages of 65 and 74, with a principal diagnosis of neurological disorders, and who also have a diagnosis of nutritional deficiencies.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 10-17-Digesti@11:17:21</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 10-17 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\10-17 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 10-17 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Digestive system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients aged 10-17 years old with any diagnosis related to the digestive system.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 65-74-Princip@22:50:06</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Male</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Male\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Male</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Neurologic Disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neurologic Disorders</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Neurologic Disorders (320-389)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find male patients aged 65-74 years old with a principal diagnosis of neurologic disorders.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperlipidemia@@21:54:04</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Hyperlipidemia@18:00:06</item_name> <item_key>masterid:216</item_key> <tooltip>Hyperlipidemia@18:00:06</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who have been diagnosed with hyperlipidemia at any time (ANY timing) with a specificity scale of 0 and a panel accuracy scale of 100, using the panel number 1 with a total of 1 item occurrence, where the item is the hyperlipidemia query with the key masterid:216 and is not a synonym.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperlipidemia@@21:57:16</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Hyperlipidemia@18:00:06</item_name> <item_key>masterid:216</item_key> <tooltip>Hyperlipidemia@18:00:06</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who have been diagnosed with Hyperlipidemia within the specified time frame, along with their medication history related to HMG-CoA reductase inhibitors, which are a class of antihyperlipidemic agents. The specificity scale is set to 0, meaning the query will return all possible matches, and the panel timing is set to ANY, indicating that the query is not limited to a specific time frame. The accuracy scale is set to 100, indicating a high level of accuracy, and the total number of items included in the query is one. The first item in the panel refers to a previous query called "Hyperlipidemia@18:00:06," while the second item focuses on the medication class of HMG-CoA reductase inhibitors. The invert value is set to 0, meaning that the items will be included in the query results.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperlipidemia@@21:58:10</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Hyperlipidemia@18:00:06</item_name> <item_key>masterid:216</item_key> <tooltip>Hyperlipidemia@18:00:06</tooltip> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who have been diagnosed with Hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors medications for the treatment of their condition at any time, with a specificity scale of 0 and an accuracy scale of 100, with the panel's timing set to ANY.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>HMG-CoA-Hyperli@21:59:19</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Hyperlipidemia@18:00:06</item_name> <item_key>masterid:216</item_key> <tooltip>Hyperlipidemia@18:00:06</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who have been prescribed HMG-CoA reductase inhibitors (a class of medications used to treat high cholesterol) and have a diagnosis of hyperlipidemia within the specified time frame.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Gende-Princ-Princ@17:50:37</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Neurologic Disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neurologic Disorders</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Neurologic Disorders (320-389)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Nutritional deficiences</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Nutritional deficiences (260-269)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Nutritional deficiences</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Nutritional deficiences (260-269)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients aged 65-74 years old with a principal diagnosis of neurologic disorders (30-389) or nutritional deficiencies (260-269) in the i2b2 database, regardless of the timing of their diagnosis, with a high level of specificity and accuracy, and who are of either gender.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>66 year-65 year@13:43:57</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>66 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\66 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old \ 66 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>65 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\65 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old \ 65 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>4</hlevel> <item_name>66 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\66 years old\</item_key> <item_icon>LA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old \ 66 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```
I want to find patients who are between the ages of 6 and 65 years old, with no specific timing requirement, and have a high level of accuracy, specifically focusing on those who are 6 and 65 years old within the demographics category of age range between 65 and 74 years old.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Circulatory sys@13:21:01</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all diagnoses related to the Circulatory system (ICD-9 codes 390-459) with a specificity scale of 0 and accuracy scale of 100, including any time frame (ANY), using the i2b2 query builder.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Gende-Circu-Organ@17:50:43</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name> 18-34 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\18-34 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 18-34 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Organic sleep disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\(327) Organic sleep disorders\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neurologic Disorders \ Organic sleep disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who are between the ages of 18-34 years old, with diagnoses related to the circulatory system, and have been diagnosed with organic sleep disorders.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name> 65-74-Neurolo@17:51:17</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name> 65-74 years old</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Age\65-74 years old\</item_key> <item_icon>FA</item_icon> <tooltip>Demographics \ Age \ 65-74 years old</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Neurologic Disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neurologic Disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients aged 65-74 years old with any neurological disorders.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Gende-Circu-Organ@17:51:17</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Organic sleep disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\(327) Organic sleep disorders\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neurologic Disorders \ Organic sleep disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients with a diagnosis of organic sleep disorders in the neurologic disorders category (ICD-9 code 327) who have any gender and any circulatory system diagnosis (ICD-9 codes 390-459).
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Femal-Hyper-Dia@22:02:12</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Femal-Hyper-Diabe@18:27:52</item_name> <item_key>masterid:249</item_key> <tooltip>Femal-Hyper-Diabe@18:27:52</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all female patients with a diagnosis of hyperglycemia or diabetes, regardless of the timing, with a specificity scale of 0 and an accuracy scale of 100, using the panel number 1 and inverting the results with a total item occurrence of 1, where the item name is (PrevQuery)Femal-Hyper-Diabe@18:27:52 and the item key is masterid:247.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Femal-Hyper-Diabe@14:04:36</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Hypertensive disease</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\Hypertensive disease (401-405)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system \ Hypertensive disease</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-20) Diabetes mellitus, type ~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}] or unspecified type with hyperosmolarity, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitustype II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type with hyperosmolarity, uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-2) Diabetes mellitus with hy~\(250-22) Diabetes mellitustype II~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitustype II [non-insulin dependent ty{..}ult-onset type] or unspecified type with hyperosmolarity, uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-00) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}fied type, not stated as uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, without mention of complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-0) Diabetes mellitus without~\(250-02) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, uncontrolled, without mention of complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-10) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}pe] or unspecified type, not stated as uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>type II diabetes mellitus [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-1) Diabetes with ketoacidosis\(250-12) type II diabetes mellitu~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ type II diabetes mellitus [non-insulin dependent t{..}adult-onset type] or unspecified type, uncontrolled, with ketoacidosis</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-60) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ied type, not stated as uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with neurological manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-6) Diabetes with neurologica~\(250-62) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}e] or unspecified type, uncontrolled, with neurological manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-50) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ified type, not stated as uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with ophthalmic manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-5) Diabetes with ophthalmic ~\(250-52) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype] or unspecified type, uncontrolled, with ophthalmic manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-30) Diabetes mellitus, type ~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus, type II [non-insulin dependent {..}pe] [adult-onset type] or unspecified type, not stated as uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus with other coma, type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-3) Diabetes with other coma\(250-32) Diabetes mellitus with o~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus with other coma, type II [non-in{..}ype] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-80) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} type, not stated as uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with other specified manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-8) Diabetes with other speci~\(250-82) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}or unspecified type, uncontrolled, with other specified manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-70) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}ype, not stated as uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with peripheral circulatory disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-7) Diabetes with peripheral ~\(250-72) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..} unspecified type, uncontrolled, with peripheral circulatory disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-40) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}nspecified type, not stated as uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with renal manifestations</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-4) Diabetes with renal manif~\(250-42) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}set type] or unspecified type, uncontrolled, with renal manifestations</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, not stated as uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-90) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}cified type, not stated as uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>6</hlevel> <item_name>Diabetes mellitus type II [non-insulin dependent type] [NIDDM type] [adult-onset type] or unspecified type, uncontrolled, with unspecified complication</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Endocrine disorders (240-259)\Other endocrine gland diseases (250-259)\(250) Diabetes mellitus\(250-9) Diabetes with unspecified~\(250-92) Diabetes mellitus type I~\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ ... \ Diabetes mellitus type II [non-insulin dependent t{..}type] or unspecified type, uncontrolled, with unspecified complication</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```
I want to find patients with Diabetes mellitus type II (non-insulin dependent type), adult-onset type, or unspecified type, either not stated as uncontrolled or uncontrolled, with specified complications such as peripheral circulatory disorders, renal manifestations, or unspecified complications.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Female@11:25:55</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Female</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\Female\</item_key> <item_icon>LA</item_icon> <tooltip>Demographic \ Gender \ Female</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all female patients with any age and any timing in the i2b2 database using the query builder.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Gende-Princ-Organ@17:52:20</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Migraine</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\(346) Migraine\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neurologic Disorders \ Migraine</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Neurologic Disorders (320-389)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Organic sleep disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\(327) Organic sleep disorders\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neurologic Disorders \ Organic sleep disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with the demographic attribute of gender, who have a principal diagnosis of migraine and organic sleep disorders.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyper- 18--HMG@22:08:27</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>0</hlevel> <item_name>(PrevQuery)Hyper- 18--HMG-C@21:48:48</item_name> <item_key>masterid:250</item_key> <tooltip>Hyper- 18--HMG-C@21:48:48</tooltip> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find a query that searches for patients with any encounter time within the specified period and includes a specific panel with a particular item (Hyper- 18--HMG-C@21:48:48) with a high accuracy scale (100) and a specificity scale of 0, and the panel is not inverted, with only one item occurrence.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperlipidemia@18:00:06</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with a diagnosis of hyperlipidemia within the specified timeframe, using the i2b2 query builder with the specificity scale set to 0 and the accuracy scale set to 100, focusing on the "Other and unspecified hyperlipidemia" category within the "Disorders of lipoid metabolism" subcategory of "Metabolic and immunity disorders".
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Hyperli-HMG-CoA@18:00:52</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>4</hlevel> <item_name>Hyperlipidemia</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Metabolic and immunity disorders (270-279)\(272) Disorders of lipoid metabol~\(272-4) Other and unspecified hyp~\</item_key> <item_icon>LA</item_icon> <tooltip>Diagnoses \ Metabolic and immunity disorders \ Disorders of lipoid metabolism \ Other and unspecified hyperlipidemia</tooltip> <class>ENC</class> <item_is_synonym>true</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>HMG-CoA reductase inhibitors</item_name> <item_key>\\i2b2_MEDS\i2b2\Medications\MUL\(LME5) antihyperlipidemic agents\(LME8) HMG-CoA reductase inhibitors\</item_key> <item_icon>FA</item_icon> <tooltip>medications \ antihyperlipidemic agents \ hmg-coa reductase inhibitors</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients who have been diagnosed with hyperlipidemia and have been prescribed HMG-CoA reductase inhibitors at any time.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns3:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/"> <query_name>Circula-Digesti@15:08:40</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Circulatory system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Circulatory system (390-459)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Circulatory system</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Digestive system</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Digestive system (520-579)\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Digestive system</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns3:query_definition> ```
I want to find diagnoses related to the circulatory system (codes 390-459) and the digestive system (codes 520-579) in the i2b2 database, with no specific time frame or accuracy requirement, and without inverting the results.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Gende-Princ-Organ@17:54:48</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Migraine</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\(346) Migraine\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neurologic Disorders \ Migraine</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Neurologic Disorders (320-389)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> <item> <hlevel>3</hlevel> <item_name>Other conditions of brain</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\(348) Other conditions of brain\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neurologic Disorders \ Other conditions of brain</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Organic sleep disorders</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\(327) Organic sleep disorders\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neurologic Disorders \ Organic sleep disorders</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find patients with the demographic attribute of gender, who have been diagnosed with either migraine, other conditions of the brain, or organic sleep disorders as their principal diagnosis, and the timing of these conditions is anytime.
```xml <?xml version="1.0" encoding="UTF-8" standalone="yes"?> <ns4:query_definition xmlns:ns2="http://www.i2b2.org/xsd/cell/crc/psm/1.1/" xmlns:ns4="http://www.i2b2.org/xsd/cell/crc/psm/querydefinition/1.1/" xmlns:ns3="http://www.i2b2.org/xsd/cell/crc/psm/analysisdefinition/1.1/"> <query_name>Gende-Princ-Other@17:55:00</query_name> <query_timing>ANY</query_timing> <specificity_scale>0</specificity_scale> <panel> <panel_number>1</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>2</hlevel> <item_name>Gender</item_name> <item_key>\\i2b2_DEMO\i2b2\Demographics\Gender\</item_key> <item_icon>FA</item_icon> <tooltip>Demographic \ Gender</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>2</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Migraine</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\(346) Migraine\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neurologic Disorders \ Migraine</tooltip> <class>ENC</class> <constrain_by_modifier> <modifier_name>Principal Diagnosis</modifier_name> <modifier_key>\\i2b2_DIAG\Principal Diagnosis\</modifier_key> <applied_path>\i2b2\Diagnoses\Neurologic Disorders (320-389)\%</applied_path> </constrain_by_modifier> <item_is_synonym>false</item_is_synonym> </item> </panel> <panel> <panel_number>3</panel_number> <panel_timing>ANY</panel_timing> <panel_accuracy_scale>100</panel_accuracy_scale> <invert>0</invert> <total_item_occurrences>1</total_item_occurrences> <item> <hlevel>3</hlevel> <item_name>Other conditions of brain</item_name> <item_key>\\i2b2_DIAG\i2b2\Diagnoses\Neurologic Disorders (320-389)\(348) Other conditions of brain\</item_key> <item_icon>FA</item_icon> <tooltip>Diagnoses \ Neurologic Disorders \ Other conditions of brain</tooltip> <class>ENC</class> <item_is_synonym>false</item_is_synonym> </item> </panel> </ns4:query_definition> ```
I want to find all patients with a gender attribute and a principal diagnosis of migraine or other conditions of the brain within the specified timeframe.