Patient-Specific Survival Prediction

Principal Investigator:
Russ Greiner

Problem we’re trying to solve

Prognostic modeling is an integral component in the treatment and management of patients. Currently being developed for the field of oncology, PSSP predicts individual survival distributions for patients from their electronic health record, significantly reducing the prediction error compared to the standard approach of using only the cancer site and stage.

How will this help someone / an industry?

More accurate survival time prediction can improve medical decision making (for example, by deciding whether a treatment option is cost-effective based on it’s added survival time, or by helping determine when a patient should be referred for end-of-life care.) The tool can be used more generally for any task that involved predicting a life-cycle (customer churn, diagnosing machine faults, etc).