XGBoost-SHAP-based interpretable diagnostic framework for knee osteoarthritis: a population-based retrospective cohort study.

Abstract

Authors

• Zijuan Fan
  Department of Orthopaedic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Qingchun Road No. 79, Hangzhou, China.
• Wenzhu Song
  Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
• Yan Ke
  Arthritis Clinic & Research Center, Peking University People's Hospital, Beijing, China.
• Ligan Jia
  School of Computer Science and Technology, Xinjiang University, Urumchi, China.
• Songyan Li
  Department of Orthopaedic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Qingchun Road No. 79, Hangzhou, China.
• Jiao Jiao Li
  School of Biomedical Engineering, Faculty of Engineering and IT, University of Technology Sydney, Sydney, Australia.
• Yuqing Zhang
  Division of Rheumatology, Allergy, and Immunology, Harvard Medical School, 2348Massachusetts General Hospital, Boston, MA, USA.
• Jianhao Lin
  Arthritis Clinic and Research Center, Peking University People's Hospital, No. 11 Xicheng District, Beijing 100044, China. Electronic address: jianhao_lin@hotmail.com.
• 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.

Keywords

External Resources