Risk stratification of ST-segment elevation myocardial infarction (STEMI) patients using machine learning based on lipid profiles.

Journal: Lipids in health and disease
PMID: 33957898

Abstract

BACKGROUND: Numerous studies have revealed the relationship between lipid expression and increased cardiovascular risk in ST-segment elevation myocardial infarction (STEMI) patients. Nevertheless, few investigations have focused on the risk stratification of STEMI patients using machine learning algorithms.

Authors

  • Yuzhou Xue
    Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, NO.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
  • Jian Shen
    Obstetric, Centre Hospital of Wuhan, Huazhong University of Science and Technology, Wuhan, Hubei, 430014, People's Republic of China.
  • Weifeng Hong
    Department of Medical Imaging, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
  • Wei Zhou
    Department of Eye Function Laboratory, Eye Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
  • Zhenxian Xiang
    Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, NO.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
  • Yuansong Zhu
    Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, NO.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
  • Chuiguo Huang
    Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
  • Suxin Luo
    Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, NO.1 Youyi Road, Yuzhong District, Chongqing, 400016, China. luosuxin0204@163.com.

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