Abstract: A facility for predicting patient outcomes on the basis of clinical trials is described. The facility obtains information describing one or more completed clinical trials, and extracts features from the obtained clinical trial information. The facility uses the extracted features to train both a time-series data model for predicting clinical outcomes and a non-time-series data model for predicting clinical outcomes. The facility applies these trained models to information describing a subject patient to predict a clinical outcome for the subject patient.

Abstract: A facility providing a medical outcome prediction model data structure is described. The data structure constitutes a trained statistical model that can be applied to image data and electronic health record data for a patient to predict a cancer survival outcome for the patient.