Early Prognostication of Critical Patients With Spinal Cord Injury: A Machine Learning Study With 1485 Cases.

Journal: Spine
PMID:

Abstract

STUDY DESIGN: A retrospective case-series.

Authors

  • Guoxin Fan
    Department of Spine Surgery, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Department of Orthopaedics, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China. Electronic address: fangx35@mail.sysu.edu.cn.
  • Huaqing Liu
    Artificial Intelligence Innovation Center, Research Institute of Tsinghua, Pearl River Delta, Guangzhou, 510735, China.
  • Sheng Yang
    Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China.
  • Libo Luo
    Breast and Thyroid Center, The First People's Hospital of Zunyi (The Third Affiliated Hospital of Zunyi Medical University), Zunyi, Guizhou, China.
  • Mao Pang
    Department of Spine Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Bin Liu
    Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Department of Endocrinology, Neijiang First People's Hospital, Chongqing, China.
  • Liangming Zhang
    Department of Spine Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Lanqing Han
    Artificial Intelligence Innovation Center, Research Institute of Tsinghua, Pearl River Delta, Guangzhou, China.
  • Limin Rong
    Department of Spine Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Xiang Liao
    Department of Pain Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.