Patent ID: 7457731
Filing Date: 2008-11-25
Classification: G06Q,G16H,G16Z,Y02A,Y10S

Abstract:
1. A method for automated identification of disease outbreak, the method comprising: obtaining patient records for patients being treated, at least some of the patient records containing information derived with a processor by data mining from individual data collections of the patients being treated, the information derived with the processor from an unstructured data source including text format, image information, waveform information or combinations thereof, the patient records being a machine readable structured dataset including the information derived with the processor from the unstructured data source and information from a structured data source; correlating selected patient data from the structured dataset, including data from the unstructured data source, contained in the patient records with disease indicia for at least one disease; identifying an anomaly at least in part based on the correlations; outputting an alert about the anomaly; extracting information from a plurality of clinical data sources to create a set of probabilistic assertions; combining the set of probabilistic assertions to create one or more unified probabilistic assertions; and inferring patient symptoms from the one or more unified probabilistic assertions.