Does the Presence of Missing Data Affect the Performance of the SORG Machine-learning Algorithm for Patients With Spinal Metastasis? Development of an Internet Application Algorithm.

Journal: Clinical orthopaedics and related research
Published Date: Jan 1, 2024

Abstract

BACKGROUND: The Skeletal Oncology Research Group machine-learning algorithm (SORG-MLA) was developed to predict the survival of patients with spinal metastasis. The algorithm was successfully tested in five international institutions using 1101 patients from different continents. The incorporation of 18 prognostic factors strengthens its predictive ability but limits its clinical utility because some prognostic factors might not be clinically available when a clinician wishes to make a prediction.

Authors

  • Chi-Ching Huang
    Department of Orthopaedic Surgery, National Taiwan University Hospital, Taipei, Taiwan.
  • Kuang-Ping Peng
    Department of Orthopaedic Surgery, National Taiwan University Hospital, Taipei, Taiwan.
  • Hsiang-Chieh Hsieh
    Department of Orthopaedic Surgery, National Taiwan University Hospital, Taipei, Taiwan.
  • Olivier Q Groot
    Department of Orthopedic Surgery, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, Boston, MA 02114, USA.
  • Hung-Kuan Yen
    School of Medicine, National Taiwan University College of Medicine, Taipei, Taiwan.
  • Cheng-Chen Tsai
    Department of Medical Education, National Taiwan University Hospital, Taipei, Taiwan.
  • Aditya V Karhade
    Computational Neurosciences Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Yen-Po Lin
    Department of Orthopaedic Surgery, National Taiwan University Hospital, Taipei, Taiwan.
  • Yin-Tien Kao
    Department of Medical Education, National Taiwan University Hospital, Taipei, Taiwan.
  • Jiun-Jen Yang
    Department of Orthopedics, National Taiwan University College of Medicine and National Taiwan University Hospital, Taipei, Taiwan; School of Medicine, National Taiwan University College of Medicine, Taipei, Taiwan.
  • Shih-Hsiang Dai
    Department of International Business, National Taiwan University, Taipei, Taiwan.
  • Chuan-Ching Huang
    Department of Orthopaedic Surgery, National Taiwan University Hospital, Taipei, Taiwan.
  • Chih-Wei Chen
    Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taiwan.
  • Mao-Hsu Yen
    Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan.
  • Fu-Ren Xiao
    Division of Neurosurgery, Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
  • Wei-Hsin Lin
    Department of Orthopedics, National Taiwan University College of Medicine and National Taiwan University Hospital, Taipei, Taiwan.
  • Jorrit-Jan Verlaan
    P. T. Ogink, J.-J. Verlaan, Department of Orthopaedic Surgery, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Joseph H Schwab
    Department of Orthopedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA. Electronic address: jhschwab@mgh.harvard.edu.
  • Feng-Ming Hsu
    Department of Orthopaedic Surgery, National Taiwan University Hospital, Taipei, Taiwan.
  • Tzehong Wong
    Department of Orthopaedic Surgery, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu, Taiwan.
  • Rong-Sen Yang
    Department of Orthopedics, National Taiwan University College of Medicine and National Taiwan University Hospital, Taipei, Taiwan.
  • Shu-Hua Yang
    Department of Orthopedics, National Taiwan University College of Medicine and National Taiwan University Hospital, Taipei, Taiwan.
  • Ming-Hsiao Hu
    Department of Orthopedics, National Taiwan University College of Medicine and National Taiwan University Hospital, Taipei, Taiwan. Electronic address: minghsiaohu@yahoo.com.tw.

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