1. A method comprising: receiving physiological data, associated with a patient having an unknown medical condition, into a computerized device, said physiological data comprising streams of medical data obtained by monitoring said patient and medical symptoms reported by said patient; extracting numerical data from said physiological data based on development of said streams of medical data over a period of time, using said computerized device; extracting features from said numerical data, using said computerized device, said features comprising a property of said physiological data being observed; converting said features extracted from said physiological data into a textual representation using natural language generation, using said computerized device, said natural language generation converting said features into words to use as a query for an information retrieval system operating on said computerized device; automatically generating said query for said information retrieval system based on said textual representation and said medical symptoms reported by said patient, using said computerized device, at least one said query being generated for each feature extracted from said physiological data; inputting said query to said information retrieval system, using said computerized device; automatically searching a corpus of data to retrieve results to said query, using said information retrieval system, said corpus of data comprising structured and unstructured data, said results indicating possible medical conditions of said patient in said period of time; comparing said results obtained from said information retrieval system to said medical symptoms reported by said patient, using said computerized device; generating hypotheses related to said possible medical conditions of said patient based on said comparing said results obtained from said information retrieval system, using said computerized device; and recommending a medical test or analysis based on said hypotheses to confirm said possible medical conditions of said patient, using said computerized device.