Published on in Vol 10, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26801, first published .
Electronic Medical Record–Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and Validation

Electronic Medical Record–Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and Validation

Electronic Medical Record–Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and Validation

Osung Kwon 1*, MD, PhD;  Wonjun Na 2*, MS;  Heejun Kang 3, MS;  Tae Joon Jun 3, PhD;  Jihoon Kweon 3, PhD;  Gyung-Min Park 4, MD, PhD;  YongHyun Cho 5, MS;  Cinyoung Hur 5, MS;  Jungwoo Chae 5, BS;  Do-Yoon Kang 3, MD, PhD;  Pil Hyung Lee 3, MD, PhD;  Jung-Min Ahn 3, MD, PhD;  Duk-Woo Park 3, MD, PhD;  Soo-Jin Kang 3, MD, PhD;  Seung-Whan Lee 3, MD, PhD;  Cheol Whan Lee 3, MD, PhD;  Seong-Wook Park 3, MD, PhD;  Seung-Jung Park 3, MD, PhD;  Dong Hyun Yang 6*, MD, PhD;  Young-Hak Kim 3*, MD, PhD

1 Division of Cardiology Department of Internal Medicine, Eunpyeong St Mary's Hospital, Catholic University of Korea , Seoul , KR

2 Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine , Seoul , KR

3 Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine , Seoul , KR

4 Division of Cardiology, Department of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine , Ulsan , KR

5 Artificial Intelligence Lab, Linewalks, Inc , Seoul , KR

6 Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine , Seoul , KR

*these authors contributed equally

Corresponding Author:

  • Young-Hak Kim, MD, PhD
  • Division of Cardiology, Department of Internal Medicine, Asan Medical Center
  • University of Ulsan College of Medicine
  • 88 Olympic-ro 43-gil, Songpa-gu
  • Seoul
  • KR
  • Phone: 82 2-3010-3995
  • Email: mdyhkim@amc.seoul.kr