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

Machine Learning (1465) Clinical Information and Decision Making (1407) Perioperative Risk Assessment (14) Surgery, Trauma and Surgical Sciences (144) Artificial Intelligence in Surgery and Perioperative Medicine (27) Artificial Intelligence (1371) Myocardial Infarction (Heart Attack) (44)

Published on in Vol 9, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32771, first published .
Predictability of Mortality in Patients With Myocardial Injury After Noncardiac Surgery Based on Perioperative Factors via Machine Learning: Retrospective Study

Predictability of Mortality in Patients With Myocardial Injury After Noncardiac Surgery Based on Perioperative Factors via Machine Learning: Retrospective Study

Predictability of Mortality in Patients With Myocardial Injury After Noncardiac Surgery Based on Perioperative Factors via Machine Learning: Retrospective Study

Authors of this article:

Seo Jeong Shin1 Author Orcid Image ;   Jungchan Park1, 2 Author Orcid Image ;   Seung-Hwa Lee3, 4 Author Orcid Image ;   Kwangmo Yang1, 5 Author Orcid Image ;   Rae Woong Park1, 6 Author Orcid Image
Article Authors Cited by (7) Tweetations (8) Metrics

Seo Jeong Shin   1 * , MS ;   Jungchan Park   1, 2 * , MD ;   Seung-Hwa Lee   3, 4 , MD ;   Kwangmo Yang   1, 5 * , MD ;   Rae Woong Park   1, 6 , MD, PhD

1 Department of Biomedical Sciences, Ajou University Graduate School of Medicine, Suwon, Republic of Korea

2 Department of Anesthesiology and Pain Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

3 Rehabilitation & Prevention Center, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

4 Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Republic of Korea

5 Center for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

6 Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Rae Woong Park, MD, PhD
  • Department of Biomedical Sciences
  • Ajou University Graduate School of Medicine
  • 206, World cup-ro, Yeongtong-gu
  • Suwon, 16499
  • Republic of Korea
  • Phone: 82 0312194471
  • Email: veritas@ajou.ac.kr