A Machine Learning Model for Predicting In-Hospital Mortality in Chinese Patients With ST-Segment Elevation Myocardial Infarction: Findings From the China Myocardial Infarction Registry.

Journal: Journal of medical Internet research
PMID: 39079111

Abstract

BACKGROUND: Machine learning (ML) risk prediction models, although much more accurate than traditional statistical methods, are inconvenient to use in clinical practice due to their nontransparency and requirement of a large number of input variables.

Authors

  • Jingang Yang
    Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, China.
  • Yingxue Li
    Ping An Healthcare Technology, Beijing.
  • Xiang Li
    Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
  • Shuiying Tao
    State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Yuan Zhang
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Tiange Chen
    Ping An Healthcare Technology, Beijing.
  • Guotong Xie
    Ping An Health Technology, Beijing, China.
  • Haiyan Xu
    State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Xiaojin Gao
    State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
  • Yuejin Yang
    Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, China.

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