Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients

Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients

Abstract Background Coronary artery disease (CAD) remains a leading cause of global mortality, with stroke constituting a significant complication among patients undergoing coronary revascularization procedures, such as percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CAB...

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Bibliographic Details
Main Authors: Yong Si, Armin Abdollahi, Negin Ashrafi, Greg Placencia, Elham Pishgar, Kamiar Alaei, Maryam Pishgar
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Revascularized CAD patients
Machine learning
Feature selection
Stroke risk prediction
CatBoost algorithm
SHAP analysis
Online Access:https://doi.org/10.1186/s12911-025-03116-2
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https://doi.org/10.1186/s12911-025-03116-2

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