Abstract: A computer-implemented method is provided for analyzing patient risk and determining an individual therapeutic treatment plan for a cancer patient. The method includes entering patient medical information into a risk assessment tool; identifying any obtaining missing or out-of-date patient information; initializing the risk assessment tool based on the patient's demographics and cancer characteristics and determining a default treatment plan for the patient; modifying the default treatment plan by observing the modification of a risk score for the patient; and confirming a treatment order for the patient based on a balancing of the risk and treatment plan factors.

Abstract: Methods, systems, and computer program products for developing and using predictive models for predicting medical outcomes and for evaluating intervention strategies, and for simultaneously validating biomarker causality are disclosed. According to one method, clinical data from different sources for a population of individuals is obtained. The clinical data may include different physical and demographic factors regarding the individuals and a plurality of different outcomes for the individuals. Input regarding a search space including models linking different combinations of the factors and at least one of the outcomes is received. In response to receiving the input, a search for models in the search space based on predictive value of the models with regard to the outcome is performed. The identified models are processed to produce a final model linking one of the combinations of factors to the outcome.