Interpretable Machine Learning Models Based on Shapley Additive Explanations for Predicting the Risk of Cerebrospinal Fluid Leakage in Lumbar Fusion Surgery.

Journal: Spine
PMID:

Abstract

STUDY DESIGN: Retrospective study.

Authors

  • ZongJie Guo
    Department of Spine Surgery, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China.
  • PeiYang Wang
    Department of Spine Surgery, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China.
  • SuHui Ye
    Department of Orthopedics, Yancheng Third People's Hospital, Yancheng, Jiangsu, People's Republic of China.
  • Haoyu Li
  • JunPing Bao
    Spine Surgery Center, Department of Spine Surgery, Zhongda Hospital Affiliated to Southeast University, Nanjing, Jiangsu, People's Republic of China.
  • Rui Shi
    From the Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, 2nd Anzhen Road, Chaoyang District, Beijing, China (N.Z., L.X., Z.F.); Cardiovascular Research Centre, Royal Brompton Hospital, London, England (G.Y., R.S., J.K., D.F.); National Heart and Lung Institute, Imperial College London, London, England (G.Y., R.S., J.K., D.F.); Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China (Z.G., H.Z.); Anhui University, Hefei, China (C.X., Y.Z.); and School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, China (H.Z.).
  • Shu Yang
    Department of Health Management, Bengbu Medical College, Bengbu, 233030.
  • Rui Yin
    Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, College of Medicine, FL, USA. Electronic address: ruiyin@ufl.edu.
  • Xiaotao Wu
    Department of Spine Surgery, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.