A systematic comparison of short-term and long-term mortality prediction in acute myocardial infarction using machine learning models.

Journal: BMC medical informatics and decision making
Published Date: Jun 5, 2025

Abstract

BACKGROUND AND OBJECTIVE: The machine learning (ML) models for acute myocardial infarction (AMI) are considered to have better predictive ability for mortality compared to conventional risk scoring models. However, previous ML prediction models have mostly been short-term (1 year or less) models. Here, we established ML models for long-term prediction of AMI mortality (5 years or 10 years) and systematically compare the predictive capabilities of short-term models versus long-term models across varying survival time periods.

Authors

  • Yawei Yang
    Department of Cardiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China.
  • Junjie Tang
    Faculty of Science, Bioinformatics Division, Institute of Biological Sciences, University of Malaya, Kuala Lumpur, Malaysia.
  • Liping Ma
    Department of Cardiology, Changhai Hospital of Shanghai, Shanghai, 200433, China.
  • Feng Wu
    Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China.
  • Xiaoqing Guan
    Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

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