Development of a Machine Learning Model to Predict the Use of Surgery in Patients With Rheumatoid Arthritis.

Journal: Arthritis care & research
PMID: 38155538

Abstract

OBJECTIVE: One in five patients with rheumatoid arthritis (RA) rely on surgery to restore joint function. However, variable response to disease-modifying antirheumatic drugs (DMARDs) complicates surgical planning, and it is difficult to predict which patients may ultimately require surgery. We used machine learning to develop predictive models for the likelihood of undergoing an operation related to RA and which type of operation patients who require surgery undergo.

Authors

  • Natalie B Baxter
    University of Michigan Medical School.
  • Ching-Heng Lin
    Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan.
  • Beth I Wallace
    Michigan Integrated Center for Health Analytics and Medical Prediction, Ann Arbor.
  • Jung-Sheng Chen
    Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.
  • Chang-Fu Kuo
    Department of Rheumatology, Allergy, and Immunology, Chang Gung Memorial Hospital, Taipei, Taiwan, ROC.
  • Kevin C Chung
    Section of Plastic Surgery, Department of Surgery, University of Michigan Medical School, Ann Arbor.

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