The best machine learning algorithm for building surgical site infection predictive models: A systematic review and network meta-analysis.

Abstract

Authors

• Jiao Shan
  Department of Hospital-Acquired Infection Control, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
• Xiaoyuan Bao
  Medical Informatics Center, Institute of Advanced Clinical Medicine, Peking University, Beijing, China.
• Bin Wang
  State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling 712100, China; New South Wales Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga 2650, Australia. Electronic address: bin.a.wang@dpi.nsw.gov.au.
• Yanbin Wang
  Center of Health Management, General Hospital of Anyang Iron and Steel Group Co., Ltd, Anyang, China.
• Yan Wang
  College of Animal Science and Technology, Beijing University of Agriculture, Beijing, China.
• Meng Lv
  State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
• Wei Huai
  Department of Emergency, Peking University Third Hospital, Beijing, China.
• Yicheng Jin
  School of General Studies, Columbia University, New York, USA.
• Yixi Jin
  Khoury College of Computer Science, Northeastern University, Seattle, USA.
• Zexin Zhang
  College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, China; Institute for Advanced Study, Center for Soft Condensed Matter Physics and Interdisciplinary Research, School of Physical Science and Technology, Soochow University, Suzhou 215006, China. Electronic address: zhangzx@suda.edu.cn.
• Yulong Cao
  Department of Hospital-Acquired Infection Control, Peking University People's Hospital, Beijing, China. Electronic address: caoyulong@pku.edu.cn.

Keywords

External Resources