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

Internet for Rehabilitation (97) Clinical Information and Decision Making (2073) Decision Support for Health Professionals (1641) mHealth for Rehabilitation (387) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1811) Machine Learning (2235)

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 (2) Tweetations Metrics

Journals

  1. Greco G, Petrelli A, Poli L, Fischetti F, Cataldi S. Machine Learning in Adapted Physical Activity: Clinical Applications, Monitoring, and Implementation Pathways for Personalized Exercise in Chronic Conditions: A Narrative Review. Journal of Functional Morphology and Kinesiology 2026;11(1):106 View
  2. Mertens M, van Kuijk S, van der Graaff E, Zmudzki F, Smeets R. External validation of four models predicting treatment success after interdisciplinary multimodal pain treatment. Disability and Rehabilitation 2026:1 View