Machine Learning Clinical Decision Support for Interdisciplinary Multimodal Chronic Musculoskeletal Pain Treatment: Prospective Pilot Study of Patient Assessment and Prognostic Profile Validation
Machine learning prognostic patient profiles showed promising contributions for IMPT clinical decision support and improving treatment outcomes for patients with CMP. Further research is needed to validate these findings in larger, more diverse populations.
Authors
- Fredrick Zmudzki (ORCID: https://orcid.org/0000-0002-4744-8983)
- Jan S. Groenewegen
- Erik van der Graaff (ORCID: https://orcid.org/0000-0003-2487-8056)
- Rob Smeets (ORCID: https://orcid.org/0000-0002-9503-366X)
Institutions
- IP Australia (AU)
- UNSW Sydney (AU)
- Maastricht University (NL)
- Pain in Motion (BE)
- Department of Health (TW)
- Expertisecentrum Nederlands (NL)
- Bouwcentrum (Netherlands) (NL)
Publication Details
- Journal
- JMIR Rehabilitation and Assistive Technologies
- Published
- 2025-02-22
- DOI
- https://doi.org/10.2196/65890
- Citations
- 2
- Primary Topic
- Musculoskeletal pain and rehabilitation
- Type
- article
- Field-Weighted Citation Impact
- 2.79