Patent ID: 7395248
Filing Date: 2008-07-01
Classification: G06N

Abstract:
1. Method of determining a therapy decision regarding a medical patient based on a likelihood of outcomes considering potential post-therapy conditions, comprising: determining an objective function of a trained neural network based on patient events and observations for a general class of medical condition, wherein the previously-measured patient events and observations are objectifiable, and wherein the neural network includes recognizing an occurrence of a particular medical condition belonging to the general class of medical condition, as exhibited by the medical patient; providing an input to the trained neural network corresponding to the particular medical condition; combining a plurality of values generated by the trained neural network according to the objective function to produce one or more outputs; determining underlying probabilities of known potential post-therapy conditions of the particular medical condition based on the one or more outputs of the trained neural network; and determining the therapy decision for the medical patient based on the determined underlying probabilities; wherein the objective function L is expressed in terms of a function P: where μ denotes the parameters of the trained neural network, f wherein is the objective function, where ε Jk and ψ jk are determined from δ jk on the basis of logical relationships.