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Home > JACC's Audio Podcasts > Machine Learning-based Prediction of Death and Hospitalization in Patients with Implantable Cardioverter Defibrillators
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Episode:

Machine Learning-based Prediction of Death and Hospitalization in Patients with Implantable Cardioverter Defibrillators
Category: Science & Medicine
Duration: 00:11:08
Publish Date: 2025-01-06 15:00:00
Description:

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.
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