Using Machine Learning to Predict MACEs Risk in Patients with Premature Myocardial Infarction

Using Machine Learning to Predict MACEs Risk in Patients with Premature Myocardial Infarction

Background: The study aimed to develop an interpretable machine learning (ML) model to assess and stratify the risk of long-term major adverse cardiovascular events (MACEs) in patients with premature myocardial infarction (PMI) and to analyze the key variables affecting prognosis....

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Main Authors: Jing-xian Wang, Miao-miao Liang, Peng-ju Lu, Zhuang Cui, Yan Liang, Yu-hang Wang, An-ran Jing, Jing Wang, Meng-long Zhang, Yin Liu, Chang-ping Li, Jing Gao
Format: Article
Language:English
Published: IMR Press 2025-05-01
Series:Reviews in Cardiovascular Medicine
Subjects:
acute myocardial infarction
premature myocardial infarction
machine learning
major adverse cardiovascular events
prediction model
Online Access:https://www.imrpress.com/journal/RCM/26/5/10.31083/RCM31298
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https://www.imrpress.com/journal/RCM/26/5/10.31083/RCM31298

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