Learning from Simulated Patient Trajectories: A Sequential Decision-Making Agent for Heart Transplantation
Invited Talk, INFORMS Annual Meeting 2025, Atlanta, GA, USA
Decisions about managing patients on the heart transplant waitlist are currently made by committees of doctors who consider multiple factors, but the process remains largely ad-hoc. With the growing volume of longitudinal patient, donor, and organ data collected by the United Network for Organ Sharing (UNOS) since 2018, there is increasing interest in analytical approaches to support clinical decision-making at the time of organ availability.