Machine Learning to Predict Return to Work After Medical Rehabilitation for Musculoskeletal Disorders: A Retrospective Cohort Study
The machine learning model demonstrated good predictive performance for RTW after medical rehabilitation for musculoskeletal disorders and confirmed the relevance of established predictors, such as prior employment and incapacity for work. In addition, the analysis identified interactions that are difficult to detect with traditional regression approaches.
Authors
- Marco Streibelt (ORCID: https://orcid.org/0009-0001-4692-5696)
- Nico Seifert (ORCID: https://orcid.org/0000-0002-2348-3485)
- Christian Hetzel (ORCID: https://orcid.org/0000-0002-4767-8244)
- Betje Schwarz
- Nadine Sänger (ORCID: https://orcid.org/0009-0000-2529-1543)
- Mathis Elling
Institutions
- German Sport University Cologne (DE)
- German Insurance Association (DE)
Publication Details
- Journal
- Journal of Occupational Rehabilitation
- Published
- 2026-01-06
- DOI
- https://doi.org/10.1007/s10926-025-10359-3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00