Medical device and computer-implemented method of predicting risk, occurrence or progression of adverse health conditions in test subjects in subpopulations arbitrarily selected from a total population

Abstract

A computer-implemented method of generating a generalized model for adaptively predicting occurrence or progression of a first adverse health condition for a first subpopulation arbitrarily selected from a total population, includes extracting information about characterizing features of a plurality of second subpopulations, about occurrences and/or severity of the first adverse health condition found therein and/or about corresponding prognostic results, from a plurality of publications. One or more of the characterizing features are associated with corresponding first factors indicating a relation with an adverse or beneficial contribution of the characterizing feature to the occurrence or progression of the first adverse health condition, and with corresponding second factors indicating the relative frequency of occurrence in the respective second subpopulation considered in the respective publication. The characterizing features and their first and second factors are combined into a generalized model for the total population, including calculating a baseline risk of patient. The generalized model is stored on a computer accessible and readable medium in a retrievable manner.