Age and medial compartmental OA were important predictors of the lateral compartmental OA in the discoid lateral meniscus: Analysis using machine learning approach.

Journal: Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Published Date:

Abstract

PURPOSE: The objective of this study was to develop a machine learning model that would predict lateral compartment osteoarthritis (OA) in the discoid lateral meniscus (DLM), from which to then identify factors contributing to lateral compartment OA, with a key focus on the patient's age.

Authors

  • Joon Hee Cho
    Department of Orthopedic Surgery, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seoul, South Korea.
  • Myeongju Kim
    Division of Clinical Medicine, Center for Artificial Intelligence in Healthcare, Seoul National University Bundang Hospital, Seongnam-si, Korea.
  • Hee Seung Nam
    Department of Orthopedic Surgery, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seoul, South Korea.
  • Seong Yun Park
    Department of Orthopedic Surgery, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam-si, Korea.
  • Yong Seuk Lee
    Department of Orthopedic Surgery, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seoul, South Korea. Electronic address: smcos1@hanmail.net.