43. A system for producing structured clinical information from patient records, comprising: a patient record comprising at least unstructured data and structured data; and a probabilistic data miner machine configured to (a) extract multiple pieces of information from the structured data and the unstructured data of the patient record of a patient, the extracting from the at least unstructured data comprising mining unstructured free text information, the multiple pieces indicating different first values for a same variable recorded for the patient, and configured to (b) combine the extracted multiple pieces of information into a second value of the variable representing the patient, the second value being a function of the first values recorded for the patient; wherein one or both of (a) and (b) are performed as a function of domain-specific criteria; and wherein the probabilistic data miner is configured to repeat (a) and (b) for a different variable, the repetition searching for different pieces of information relevant to the different variable and combining the different pieces of information into a value for the different variable, the variable and the different variable representing the patient at a given time.
43. A system for producing structured clinical information from patient records, comprising: a patient record comprising at least unstructured data and structured data; and a probabilistic data miner machine configured to (a) extract multiple pieces of information from the structured data and the unstructured data of the patient record of a patient, the extracting from the at least unstructured data comprising mining unstructured free text information, the multiple pieces indicating different first values for a same variable recorded for the patient, and configured to (b) combine the extracted multiple pieces of information into a second value of the variable representing the patient, the second value being a function of the first values recorded for the patient; wherein one or both of (a) and (b) are performed as a function of domain-specific criteria; and wherein the probabilistic data miner is configured to repeat (a) and (b) for a different variable, the repetition searching for different pieces of information relevant to the different variable and combining the different pieces of information into a value for the different variable, the variable and the different variable representing the patient at a given time. 51. The system of claim 43 wherein the probabilistic data miner is configured to extract in (a) key phrases from the at least one unstructured data source, the at least one unstructured data source comprising free text treatment notes, the key phrases comprising at least part of the domain-specific criteria.