Predicting the rapid progression of coronary artery lesions in patients with acute coronary syndrome based on machine learning

PurposesRapid coronary artery lesions (RCAL) are strongly linked to major adverse cardiovascular events in patients with acute coronary syndrome (ACS). This work developed a public online prediction platform for RCAL (OpRCAL) by comparing the performance of nine machine learning models.MethodsWe ret...

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Bibliographic Details

Published in:	Frontiers in Cardiovascular Medicine
Main Authors:	Long Gui, Yuekang Hu, Hua Ouyang, Huanwei Zhuang, Yangfei Peng, Jun Yang, Heshan Cao, Songran Yang, Ping Hua
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-09-01
Subjects:	acute coronary syndrome PCI rapid progression machine learning random forest
Online Access:	https://www.frontiersin.org/articles/10.3389/fcvm.2025.1535406/full