Multimodal Visualization and Explainable Machine Learning–Driven Markers Enable Early Identification and Prognosis Prediction for Symptomatic Aortic Stenosis and Heart Failure With Preserved Ejection Fraction After Transcatheter Aortic Valve Replacement: Multicenter Cohort Study

Multimodal Visualization and Explainable Machine Learning–Driven Markers Enable Early Identification and Prognosis Prediction for Symptomatic Aortic Stenosis and Heart Failure With Preserved Ejection Fraction After Transcatheter Aortic Valve Replacement: Multicenter Cohort Study

Authors of this article:

Jun Wang^{1, 2, 3} ;   Jiajun Zhu⁴ ;   Hui Li¹ ;   Shili Wu^{1, 5} ;   Siyang Li⁶ ;   Zhuoya Yao¹ ;   Tongjian Zhu⁶ ;   Bi Tang^{1, 2, 3} ;   Shengxing Tang⁷ ;   Jinjun Liu^{1, 2, 3}