Interpretable Machine Learning to Predict the Malignancy Risk of Follicular Thyroid Neoplasms in Extremely Unbalanced Data: Retrospective Cohort Study and Literature Review.

Abstract

Authors

• Rui Shan
  Wannan Medical College, Wuhu, Anhui, China.
• Xin Li
  Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
• Jing Chen
  Department of Vascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
• Zheng Chen
• Yuan-Jia Cheng
  Department of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, China.
• Bo Han
  Faculty of Material Science and Chemistry, China University of Geosciences, Wuhan 430074, PR China.
• Run-Ze Hu
  Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China.
• Jiu-Ping Huang
  Department of Ultrasound, Peking University Third Hospital, Beijing, China.
• Gui-Lan Kong
  National Institute of Health Data Science, Peking University, Beijing, China.
• Hui Liu
  Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
• Fang Mei
  Department of Pathology, Peking University Third Hospital, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
• Shi-Bing Song
  Department of General Surgery, Peking University Third Hospital, Beijing, China.
• Bang-Kai Sun
  Information Management and Big Data Center, Peking University Third Hospital, Beijing, China.
• Hui Tian
  School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
• Yang Wang
  Department of General Surgery The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology Kunming China.
• Wu-Cai Xiao
  Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China.
• Xiang-Yun Yao
  Department of Ultrasound, Peking University Third Hospital, Beijing, China.
• Jing-Ming Ye
  Department of Thyroid and Breast Surgery, Peking University First Hospital, Beijing, China.
• Bo Yu
  Department of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China.
• Chun-Hui Yuan
  Department of General Surgery, Peking University Third Hospital, Beijing, China.
• Fan Zhang
  Department of Anesthesiology, Bishan Hospital of Chongqing Medical University, Chongqing, China.
• Zheng Liu
  ICSC World Laboratory, Geneva, Switzerland.

Keywords

External Resources