Patent Document ID: 20140279746
Application ID: 14182269
Patent Flag: 0

Claim One:
1. A computer-implemented method for predicting patient response to treatment for a subject patient, the method comprising: receiving, for a subject patient, a subject patient dataset including features obtained for a reduced feature dataset; and comparing the subject patient dataset to a feature data scheme to predict a response for the subject patient; wherein the feature data scheme comprises: (a) a diagnostic model for determining a diagnosis of one of a plurality of known disorders indicated by an individual patient dataset; and (b) a plurality of diagnosis-specific treatment response models, each of the diagnosis-specific treatment response models corresponding to a specific diagnosis of one of the known disorders, the treatment response models configured to use feature data to predict treatment response; wherein comparing the subject patient dataset to the feature data scheme to predict the response for the subject patient comprises: applying the diagnostic model to the subject patient dataset to determine a subject patient diagnosis of one of the known disorders indicated for the subject patient by the subject patient dataset; and selecting and applying one of the diagnosis-specific treatment response models to the subject patient dataset to predict the response for the subject patient; wherein the selected diagnosis-specific treatment response model corresponds to the determined subject patient diagnosis.