Machine Learning-based Prediction of Death and Hospitalization in Patients with Implantable Cardioverter Defibrillators
In this episode, Dr. Valentin Fuster discusses a groundbreaking study that uses machine learning to predict mortality and hospitalization risks in patients with implantable cardioverter defibrillators (ICDs). By leveraging large datasets and time-varying ICD data, the study developed a robust predictive model, though challenges remain regarding data gaps and its applicability to diverse patient populations.