This paper is in the following e-collection/theme issue:

Internet for Rehabilitation (92) Clinical Information and Decision Making (1914) Decision Support for Health Professionals (1538) mHealth for Rehabilitation (352) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Machine Learning (2074)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65890, first published .
Machine Learning Clinical Decision Support for Interdisciplinary Multimodal Chronic Musculoskeletal Pain Treatment: Prospective Pilot Study of Patient Assessment and Prognostic Profile Validation

Machine Learning Clinical Decision Support for Interdisciplinary Multimodal Chronic Musculoskeletal Pain Treatment: Prospective Pilot Study of Patient Assessment and Prognostic Profile Validation

Machine Learning Clinical Decision Support for Interdisciplinary Multimodal Chronic Musculoskeletal Pain Treatment: Prospective Pilot Study of Patient Assessment and Prognostic Profile Validation

Authors of this article:

Fredrick Zmudzki1, 2, 3 Author Orcid Image ;   Rob J E M Smeets1, 4, 5 Author Orcid Image ;   Jan S Groenewegen6 Author Orcid Image ;   Erik van der Graaff7 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Fredrick Zmudzki   1, 2, 3 , MEc ;   Rob J E M Smeets   1, 4, 5 , MBBS, PhD ;   Jan S Groenewegen   6 , MBBS ;   Erik van der Graaff   7 , PhD

1 Department of Rehabilitation Medicine, Care and Public Health Research Institute, Faculty of Health, Life Sciences and Medicine, Maastricht University, Maastricht, The Netherlands

2 Epoque Consulting, Sydney, Australia

3 Social Policy Research Centre, University of New South Wales, Sydney, Australia

4 CIR (Expertisecentrum chronische pijn), Eindhoven, The Netherlands

5 Pain in Motion International Research Group, Brussels, Belgium

6 CIR (Expertisecentrum chronische pijn), Rotterdam, The Netherlands

7 CIR (Expertisecentrum chronische pijn), Amsterdam, The Netherlands

Corresponding Author:

  • Rob J E M Smeets, MBBS, PhD
  • Department of Rehabilitation Medicine, Care and Public Health Research Institute
  • Faculty of Health, Life Sciences and Medicine, Maastricht University
  • Universiteitssingel 40, Room 3.544, P.O. Box 616, 6200 MD
  • Maastricht 6229 ER
  • The Netherlands
  • Phone: 31 433882160
  • Email: r.smeets@maastrichtuniversity.nl