Multimodal Data‐Driven Prognostic Model for Predicting Long‐Term Prognosis in Patients With Ischemic Cardiomyopathy and Heart Failure With Preserved Ejection Fraction After Coronary Artery Bypass Grafting: A Multicenter Cohort Study

Multimodal Data‐Driven Prognostic Model for Predicting Long‐Term Prognosis in Patients With Ischemic Cardiomyopathy and Heart Failure With Preserved Ejection Fraction After Coronary Artery Bypass Grafting: A Multicenter Cohort Study

Background Limited data from the literature are available to assess the efficacy of coronary artery bypass grafting in patients with ischemic cardiomyopathy and heart failure with preserved ejection fraction. Therefore, our objective was to use machine learning techniques integrating clinical featur...

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Bibliographic Details
Main Authors: Jun Wang, Yijun Wang, Shoupeng Duan, Li Xu, Yanan Xu, Wenyuan Yin, Yi Yang, Bing Wu, Jinjun Liu
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
coronary artery bypass grafting
heart failure with preserved ejection fraction
multimodal data
prediction nomogram
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.124.036970
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