Identification of spinal tuberculosis subphenotypes using routine clinical data: a study based on unsupervised machine learning.

Journal: Annals of medicine
Published Date: Jan 1, 2023

Abstract

OBJECTIVE: The identification of spinal tuberculosis subphenotypes is an integral component of precision medicine. However, we lack proper study models to identify subphenotypes in patients with spinal tuberculosis. Here we identified possible subphenotypes of spinal tuberculosis and compared their clinical results.

Authors

  • Yuanlin Yao
    Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China.
  • Shaofeng Wu
    Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China.
  • Chong Liu
    * Department of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, P. R. China.
  • Chenxing Zhou
    Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China.
  • Jichong Zhu
    Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China.
  • Tianyou Chen
    Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China.
  • Chengqian Huang
    Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China.
  • Sitan Feng
    Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China.
  • Bin Zhang
    Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Siling Wu
    Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China.
  • Fengzhi Ma
    Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China.
  • Lu Liu
    College of Pharmacy, Harbin Medical University, Harbin, China.
  • Xinli Zhan
    Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, P.R. China.

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