A complexity evaluation system for mitral valve repair based on preoperative echocardiographic and machine learning.

Abstract

Authors

• Kun Zhu
  Aviation Technology Research Institute, China Aerospace Science and Industry Corporation, Beijing, 100143, China.
• Hang Xu
  School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore. hxu011@e.ntu.edu.sg.
• Shanshan Zheng
  State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China.
• Shui Liu
  Department of Respiratory and Critical Care Medicine, People's Hospital of Fengjie, Fengjie, Chongqing, 404600, P.R. China (S.L.). Electronic address: 280790282@qq.com.
• Zhaoji Zhong
  Cardiac Surgery Center, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
• Haining Sun
  Cardiac Surgery Center, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
• Fujian Duan
  Department of Echocardiography, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
• Sheng Liu
  Medical School, Xizang Minzu University, Xianyang, People's Republic of China.

Keywords

External Resources