Patent ID: 9235808
Filing Date: 2016-01-12
CPC Classification: G05B,G06N,G16H

Claim Text:
1. A method to evaluate a prediction that a patient has a given disease out of a plurality of predictions that the patient has the given disease, the method comprising: collecting a plurality of clinical data from each patient of a cohort of patients; providing a plurality of research modules, each of which having an input for receiving a clinical data of the plurality of clinical data from each patient of the cohort of patients, and each of which having an output for outputting a binary vector that represents a prediction that a patient has a given disease; inputting each clinical data of the plurality of clinical data into a respective research module; outputting, from the plurality of research modules, a plurality of binary vectors; accessing a particular binary vector out of the plurality of binary vectors, wherein it is unknown whether the particular binary vector indicates that a particular patient has the disease; accessing a subsample of the plurality of binary vectors, with the subsample possibly including the particular binary vector; determining, with a computer coupled to the plurality of research modules, a consensus prediction that a patient has the disease based on the subsample of the plurality of binary vectors; determining a proximity of the particular binary vector to the consensus prediction; and ranking each binary vector out of the plurality of binary vectors in an order of a closest in proximity to the consensus prediction to a farthest in proximity to the consensus prediction.