Novel Machine Learning Models for Predicting 3 Year Survival in Adult Heart Transplant

Purpose: The ability to accurately risk stratify patients prior to heart transplantation represents a significant challenge. Recent advancements in machine learning offers a potential methodology for improving predictive models, yet such modeling has not yet been widely applied to heart transplantation. This study aims to develop machine learning models to predict 3 year survival in adult heart transplant recipients.