Patent ID: 8655817

Claim:
A method for predicting patient response to treatment for a subject patient, the method comprising: generating in memory of a computer, and storing on a system database, a first level training dataset comprising a plurality of records comprising measured patient related data from a large number of patients, the measured patient related data including clinical and/or laboratory data, diagnoses of presence or absence of known disorders and data relating to patient treatment response; wherein the measured patient related data is processed to extract features from the measured patient related data to generate an extracted feature dataset; processing the extracted feature dataset to derive a feature data scheme comprising: (a) a diagnostic model for determining a diagnosis of one of the 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; the feature data scheme including a reduced feature dataset whose cardinality is less than that of the extracted feature dataset; the reduced feature dataset being derived by processing the data to obtain features appearing to discriminate for a useful prediction; generating, for a subject patient, a subject patient dataset including the features obtained for the reduced feature dataset; and comparing the subject patient dataset to the feature data scheme to predict a response for the subject patient by: 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.