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

Journal: JMIR aging
Published Date:

Abstract

BACKGROUND: Myocardial injury after noncardiac surgery (MINS) is an easily overlooked complication but closely related to postoperative cardiovascular adverse outcomes; therefore, the early diagnosis and prediction are particularly important.

Authors

  • Chang Liu
    Key Lab of Cell Differentiation and Apoptosis of Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Kai Zhang
    Anhui Province Key Laboratory of Respiratory Tumor and Infectious Disease, First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
  • Xiaodong Yang
    Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.
  • Bingbing Meng
    Department of Anesthesiology, The First Medical Center, Chinese People's Liberation Army General Hospital, 28th Fuxing Road, Haidian District, Beijing, 100853, China, 86 15010665099.
  • Jingsheng Lou
    Department of Anesthesiology, The First Medical Center, Chinese People's Liberation Army General Hospital, 28th Fuxing Road, Haidian District, Beijing, 100853, China, 86 15010665099.
  • Yanhong Liu
    Department of Animal Science, University of California, Davis, CA 95616, USA.
  • Jiangbei Cao
    Department of Anesthesiology, The First Medical Center, Chinese People's Liberation Army General Hospital, 28th Fuxing Road, Haidian District, Beijing, 100853, China, 86 15010665099.
  • Kexuan Liu
    Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Weidong Mi
    Anesthesia and Operation Center, Chinese PLA General Hospital, Beijing, China.
  • Hao Li
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.