Predicting rapid progression in knee osteoarthritis: a novel and interpretable automated machine learning approach, with specific focus on young patients and early disease.

Journal: Annals of the rheumatic diseases
Published Date:

Abstract

OBJECTIVES: To facilitate the stratification of patients with osteoarthritis (OA) for new treatment development and clinical trial recruitment, we created an automated machine learning (autoML) tool predicting the rapid progression of knee OA over a 2-year period.

Authors

  • Simone Castagno
    Department of Interventional Radiology, Royal Free Hospital, London, United Kingdom.
  • Mark Birch
    Department of Surgery, University of Cambridge, Cambridge, UK.
  • Mihaela van der Schaar
    University of California, Los Angeles, CA, USA.
  • Andrew McCaskie
    Department of Surgery, University of Cambridge, Cambridge, UK.