One-year survival prediction models following ST-elevation myocardial infarction: A comparative analysis of the Cox Frailty Model and machine learning

Background: The aim of this study was developing and comparative analyzing prediction models using a Cox proportional hazards model with and without frailty, random survival forests (RSF) and survival support vector regression (SVR). Methods: In this study, 2800 patients with STEMI have been used an...

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Hlavní autoři:	Mansour Rezaei, Maryam Montaseri, Shayan Mostafaei, Armin Khayati, Mohammad Taheri
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Babol University of Medical Sciences 2025-09-01
Edice:	Caspian Journal of Internal Medicine
Témata:	survival analysis machine-learning myocardial infarction frailty model.
On-line přístup:	http://caspjim.com/article-1-4599-en.pdf
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