This paper is in the following e-collection/theme issue:

Machine Learning (2068) Artificial Intelligence (2113) Clinical Information and Decision Making (1909) Decision Support for Health Professionals (1533) Coronary Heart Disease (109) Cardiac Risk and Cardiac Risk Calculators (102) Cardiac Disease Management (156) Precision Medicine (157)

Published on in Vol 13 (2025)

Risk Prediction of Major Adverse Cardiovascular Events Within One Year After Percutaneous Coronary Intervention in Patients With Acute Coronary Syndrome: Machine Learning–Based Time-to-Event Analysis

Risk Prediction of Major Adverse Cardiovascular Events Within One Year After Percutaneous Coronary Intervention in Patients With Acute Coronary Syndrome: Machine Learning–Based Time-to-Event Analysis

Risk Prediction of Major Adverse Cardiovascular Events Within One Year After Percutaneous Coronary Intervention in Patients With Acute Coronary Syndrome: Machine Learning–Based Time-to-Event Analysis

Authors of this article:

Hong-Jae Choi1 Author Orcid Image ;   Changhee Lee2 Author Orcid Image ;   Hack-Lyoung Kim3 Author Orcid Image ;   Youn-Jung Son4 Author Orcid Image
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