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.

Abstract

Authors

• Jun Wang
  Department of Speech, Language, and Hearing Sciences and the Department of Neurology, The University of Texas at Austin, Austin, TX 78712, USA.
• Jiajun Zhu
  Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Engineering Research Center of Oral Biomaterials and Devices of Zhejiang Province, Hangzhou 310000, China.
• Hui Li
  Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
• Shili Wu
  Department of Cardiology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
• Siyang Li
• Zhuoya Yao
  Department of Cardiology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
• Tongjian Zhu
  Department of Cardiology, Xiangyang Central Hospital, Xiangyang, China.
• Bi Tang
  Department of Cardiovascular Disease, The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui Province, 233099, China.
• Shengxing Tang
  Department of Cardiology, First Affiliated Hospital of Wannan Medical College, Wuhu, China.
• Jinjun Liu
  School of Control and Mechanical Engineering, Tianjin Chengjian University, Tianjin 300384, China.

Keywords

External Resources