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

Hong-Jae Choi   1 , PhD ;   Changhee Lee   2 , PhD ;   Hack-Lyoung Kim   3 , MD, PhD ;   Youn-Jung Son   4 , PhD

1 Department of Thoracic and Cardiovascular Surgery, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea

2 Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea

3 Division of Cardiology, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea

4 Red Cross College of Nursing, Chung-Ang University, Seoul, Republic of Korea

Corresponding Author:

  • Youn-Jung Son, PhD
  • Red Cross College of Nursing, Chung-Ang University
  • 84 Heukseok ro, Dongjak-gu
  • Seoul 06974
  • Republic of Korea
  • Phone: 82 2-820-5198
  • Email: yjson@cau.ac.kr