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

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) mo...

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Auteurs principaux:	Yawei Yang, Junjie Tang, Liping Ma, Feng Wu, Xiaoqing Guan
Format:	Artigo
Langue:	Inglês
Publié:	BMC 2025-06-01
Collection:	BMC Medical Informatics and Decision Making
Sujets:	Acute myocardial infarction Machine learning Mortality prediction Risk factors Explainable machine learning
Accès en ligne:	https://doi.org/10.1186/s12911-025-03052-1
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