Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54872, first published .
Development and Validation of an Explainable Machine Learning Model for Predicting Myocardial Injury After Noncardiac Surgery in Two Centers in China: Retrospective Study

Development and Validation of an Explainable Machine Learning Model for Predicting Myocardial Injury After Noncardiac Surgery in Two Centers in China: Retrospective Study

Development and Validation of an Explainable Machine Learning Model for Predicting Myocardial Injury After Noncardiac Surgery in Two Centers in China: Retrospective Study

Chang Liu   1, 2, 3 * , MD ;   Kai Zhang   1, 2, 3 * , MD ;   Xiaodong Yang   4 * , PhD ;   Bingbing Meng   1, 2, 3 , MD ;   Jingsheng Lou   1, 2, 3 , MD, PhD ;   Yanhong Liu   1, 2, 3 , MD, PhD ;   Jiangbei Cao   1, 2, 3 , MD, PhD ;   Kexuan Liu   5 , MD, PhD ;   Weidong Mi   1, 2, 3 * , MD, PhD ;   Hao Li   1, 2, 3 * , MD, PhD

1 Department of Anesthesiology, The First Medical Center, Chinese People's Liberation Army General Hospital, Beijing, China

2 Medical School of Chinese People's Liberation Army General Hospital, Beijing, China

3 National Clinical Research Center for Geriatric Diseases, Chinese People's Liberation Army General Hospital, Beijing, China

4 Institute of Computing Technology Chinese Academy of Science, Beijing, China

5 Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China

*these authors contributed equally

Corresponding Author:

  • Hao Li, MD, PhD
  • Department of Anesthesiology
  • The First Medical Center
  • Chinese People's Liberation Army General Hospital
  • 28th Fuxing Road, Haidian District
  • Beijing, 100853
  • China
  • Phone: 86 15010665099
  • Email: lihao301@126.com