Application of an interpretable machine learning method to predict the risk of death during hospitalization in patients with acute myocardial infarction combined with diabetes mellitus.

Journal: Acta cardiologica
Published Date: Apr 8, 2025

Abstract

BACKGROUND: Predicting the prognosis of patients with acute myocardial infarction (AMI) combined with diabetes mellitus (DM) is crucial due to high in-hospital mortality rates. This study aims to develop and validate a mortality risk prediction model for these patients by interpretable machine learning (ML) methods.

Authors

  • Zhijun Bu
    Centre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
  • Siyu Bai
    School of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, China.
  • Chan Yang
    First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China.
  • Guanhang Lu
    School of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, China.
  • Enze Lei
    School of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, China.
  • Youzhu Su
    Centre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
  • Zhaoge Han
    School of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, China.
  • Muyan Liu
    Business School, Sichuan University, Chengdu, Sichuan, China.
  • Jingge Li
    First Clinical Medical College, Hubei University of Chinese Medicine, Wuhan, China.
  • Linyan Wang
    Department of Ophthalmology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Jianping Liu
    Department of Breast Surgery, Affiliated Hospital of Chengde Medical University, Chengde 067000, Hebei, China.
  • Yao Chen
    Department of Galactophore Surgery, West China Hospital, Sichuan University, Chengdu, 610041, PR China.
  • Zhaolan Liu
    Centre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.

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