Survival prediction modelling in patients with acute ST-segment elevation myocardial infarction with LASSO regression and explainable machine learning

BackgroundAcute ST-segment elevation myocardial infarction (STEMI) is a cardiovascular emergency that is associated with a high risk of death. In this study, we developed explainable machine learning models to predict the overall survival (OS) of STEMI patients to help improve prognosis and increase...

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Bibliographic Details
Main Authors:	Tao Shi, Jianping Yang, Yanji Zhou, Sirui Yang, Fazhi Yang, Xinuo Ma, Yujuan Peng, Jinfang Pu, Hong Wei, Lixing Chen
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-07-01
Series:	Frontiers in Medicine
Subjects:	acute ST-segment elevation myocardial infarction LASSO regression explainable machine learning Cox proportional hazards regression random survival forest
Online Access:	https://www.frontiersin.org/articles/10.3389/fmed.2025.1594273/full
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Survival prediction modelling in patients with acute ST-segment elevation myocardial infarction with LASSO regression and explainable machine learning

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