Patent ID: 7194301
Filing Date: 2007-03-20
Classification: G16H

Abstract:
1. A method for predicting weight loss outcome of application of a proposed therapy to a patient for treating an eating, gastrointestinal, or gastroesophageal disorder, comprising: a) obtaining items of information from the patient at risk of the eating, gastrointestinal, or gastroesophageal disorder, each item of information relating to a preselected patient variable; and b) predicting the weight loss outcome for the patient from the obtained items of information for the patient using an aggregated weight loss predictor developed from i) observed similar types of information and corresponding weight loss information obtained from an actual population of patients who previously received a similar therapy to the proposed therapy for the patient, or ii) information generated from a simulated population of patients by resampling the observed actual population information to produce pseudo-replicates; wherein predicting the weight loss outcome comprises processing the items of information using an aggregated classification and repression tree model formed using a committee or ensemble method combining multiple predictors trained in perturbed versions of the observed similar types of information and corresponding weight loss information obtained from the actual population of patients.