Enhanced machine learning models for predicting three-year mortality in Non-STEMI patients aged 75 and above.

Journal: BMC geriatrics
Published Date: Jul 2, 2025

Abstract

BACKGROUND: Non-ST segment elevation myocardial infarction (Non-STEMI) is a severe cardiovascular condition mainly affecting individuals aged 75 and above, who are at higher risk of mortality due to age-related vulnerabilities and other health issues. Current prognostic models are often inadequate in addressing the complexity of this population. This study aims to develop and validate a machine learning (ML) model to predict three-year mortality in Non-STEMI patients aged 75 and above, to assist clinicians in decision-making.

Authors

  • Jing Zhang
    MOEMIL Laboratory, School of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu, China.
  • Wuyu Xiong
    Central Laboratory, The First College of Clinical Medical Science, China Three Gorges University & Yichang Central People's Hospital, Yichang, China; Hubei Key Laboratory of Ischemic Cardiovascular Disease, Yichang, China; Hubei Provincial Clinical Research Center for Ischemic Cardiovascular Disease, Yichang, China.
  • Chengzhi Zhang
    Department of Information Management, Nanjing University of Science & Technology, Nanjing, China.
  • Cuiyuan Huang
    Central Laboratory, The First College of Clinical Medical Science, China Three Gorges University & Yichang Central People's Hospital, Yichang, China; Hubei Key Laboratory of Ischemic Cardiovascular Disease, Yichang, China; Hubei Provincial Clinical Research Center for Ischemic Cardiovascular Disease, Yichang, China.
  • Wenqiang Li
    Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100050, China.
  • Li Liu
    Metanotitia Inc., Shenzhen, China.
  • Wei Wang
    State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China.
  • Ye Sang
    The First College of Clinical Medical Science, China Three Gorges University, Yichang, China.
  • Huiling Zhen
    Department of Medical Record Management, The First College of Clinical Medical of Science, China Three Gorges University, Yichang Central People's Hospital, Yichang, China.
  • Caiwei Tan
    Department of Medical Record Management, The First College of Clinical Medical of Science, China Three Gorges University, Yichang Central People's Hospital, Yichang, China.
  • Jiajuan Yang
    Yichang City Centre for Disease Control and Prevention, Yichang, China.
  • Jian Yang
    Drug Discovery and Development Research Group, College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK, Canada.

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