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