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

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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Bibliographic Details
Main Authors: Yawei Yang, Junjie Tang, Liping Ma, Feng Wu, Xiaoqing Guan
Format: Article
Language:English
Published: BMC 2025-06-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Acute myocardial infarction
Machine learning
Mortality prediction
Risk factors
Explainable machine learning
Online Access:https://doi.org/10.1186/s12911-025-03052-1
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