This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1721) Machine Learning (1816) Myocardial Infarction (Heart Attack) (52) Decision Support for Health Professionals (1388) Artificial Intelligence (1831) Precision Medicine (116) mHealth in a Clinical Setting (696) Cardiac Risk and Cardiac Risk Calculators (78)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67346, first published .
Risk Factors for Gastrointestinal Bleeding in Patients With Acute Myocardial Infarction: Multicenter Retrospective Cohort Study

Risk Factors for Gastrointestinal Bleeding in Patients With Acute Myocardial Infarction: Multicenter Retrospective Cohort Study

Risk Factors for Gastrointestinal Bleeding in Patients With Acute Myocardial Infarction: Multicenter Retrospective Cohort Study

Authors of this article:

Yanqi Kou1 Author Orcid Image ;   Shicai Ye1 Author Orcid Image ;   Yuan Tian1, 2 Author Orcid Image ;   Ke Yang3 Author Orcid Image ;   Ling Qin4 Author Orcid Image ;   Zhe Huang5 Author Orcid Image ;   Botao Luo1, 2 Author Orcid Image ;   Yanping Ha1, 2 Author Orcid Image ;   Liping Zhan1 Author Orcid Image ;   Ruyin Ye1 Author Orcid Image ;   Yujie Huang1 Author Orcid Image ;   Qing Zhang1 Author Orcid Image ;   Kun He1 Author Orcid Image ;   Mouji Liang1 Author Orcid Image ;   Jieming Zheng1 Author Orcid Image ;   Haoyuan Huang1 Author Orcid Image ;   Chunyi Wu1 Author Orcid Image ;   Lei Ge3 Author Orcid Image ;   Yuping Yang1 Author Orcid Image
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Journals

  1. Liu Z, Jiang G, Zhang L, Shrestha P, Hu Y, Zhu Y, Li G, Xiong Y, Zhan L. The future of critical care: AI-powered mortality prediction for acute variceal gastrointestinal bleeding and acute non-variceal gastrointestinal bleeding patients. Frontiers in Medicine 2025;12 View