Prediction of Percutaneous Coronary Intervention Success in Patients With Moderate to Severe Coronary Artery Calcification Using Machine Learning Based on Coronary Angiography: Prospective Cohort Study.

Abstract

Authors

• Zixiang Ye
  Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No 167 North Lishi Road, Xicheng District, Beijing, 100037, China, 86 88398866.
• Zhangyu Lin
  Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No 167 North Lishi Road, Xicheng District, Beijing, 100037, China, 86 88398866.
• Enmin Xie
  Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No 167 North Lishi Road, Xicheng District, Beijing, 100037, China, 86 88398866.
• Chenxi Song
  West China Medical School of Sichuan University, Chengdu 610041, Sichuan Province, China. Electronic address: 1933769555@qq.com.
• Rui Zhang
  Department of Cardiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China.
• Hao-Yu Wang
  Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No 167 North Lishi Road, Xicheng District, Beijing, 100037, China, 86 88398866.
• Shanshan Shi
  CICU, Children's Hospital, Zhejiang University School of Medicine, 310052 Hangzhou, Zhejiang, China.
• Lei Feng
  National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
• Kefei Duo
  Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No 167 North Lishi Road, Xicheng District, Beijing, 100037, China, 86 88398866.

Keywords

External Resources