7. A method comprising: extracting features from physiological data associated with a patient having an unknown medical condition using a computerized device, said features being based on development of said physiological data over a period of time, said physiological data comprising streams of medical data obtained by monitoring said patient and medical symptoms reported by said patient; generating at least one query based on said features, using said computerized device, at least one said query being generated for each feature; inputting said at least one query to a textual query engine operating on said computerized device, said textual query engine automatically searching a corpus of data comprising sources of structured and unstructured data; retrieving results to said at least one query using said textual query engine operating on said computerized device, said results indicating a possible medical condition of said patient in said period of time; comparing said results to said medical symptoms reported by said patient; generating hypotheses related to said possible medical condition of said patient based on said results obtained from said textual query engine, using said computerized device; and translating said hypotheses into at least one additional analysis based on said possible medical condition to confirm said possible medical condition of said patient, using said computerized device.
8. The method according to claim 7 , further comprising: ranking said results obtained from said textual query engine based on importance scores retrieved with said results, using said computerized device; formulating said hypotheses related to said possible medical condition of said patient to generate analytical patterns, using said computerized device; and identifying relationships among said physiological data based on said analytical patterns, using said computerized device.