Construct validation of machine learning for accurately predicting the risk of postoperative surgical site infection following spine surgery.

Abstract

Authors

• Q Zhang
  Department of Radiology, People's Hospital of Qinghai Province, Xining 810000, China.
• G Chen
  College of Life Science and Technology, Beijing University of Chemical Technology , Beijing, China.
• Q Zhu
  Taizhou Clinical Medical School of Nanjing Medical University, Taizhou, People's Republic of China.
• Z Liu
  School of Materials and Energy, Guangdong University of Technology, Guangzhou 510006, China.
• Y Li
• R Li
  Department of Radiation Oncology, Stanford University School of Medicine, Stanford California, USA.
• T Zhao
  Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, VA 20147, U.S.A. zhaot@janelia.hhmi.org.
• X Liu
  Pediatric Medicine, the Affiliated Hospital of Chengde Medical University, Chengde, China.
• Y Zhu
  Department of Anesthesiology, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
• Z Zhang
  Department of Orthopedics, Taizhou People's Hospital, Nanjing Medical University, Taizhou, People's Republic of China; Taizhou Clinical Medical School of Nanjing Medical University, Taizhou, People's Republic of China.
• H Li
  Merck Research Laboratories, Kenilworth, NJ, USA.

Keywords

External Resources