Machine learning for patient selection in corticosteroid decision making in knee osteoarthritis: A feasibility model
The model demonstrated feasibility to assist clinicians with decision-making in patient selection for corticosteroid injections. Further studies are required to improve the model prior to testing in clinical settings.
Authors
- Gareth G. Jones (ORCID: https://orcid.org/0000-0002-3428-8765)
- Omar Musbahi (ORCID: https://orcid.org/0000-0002-4095-0989)
- Savvas Hadjixenophontos
- Justin Peter Cobb (ORCID: https://orcid.org/0000-0002-6095-8822)
- Ahmed Al-Saadawi (ORCID: https://orcid.org/0009-0000-5105-0903)
- Iris Soteriou
- Kyriacos Pouris
Institutions
- Queen Mary University of London (GB)
- Imperial College London (GB)
Publication Details
- Journal
- World Journal of Methodology
- Published
- 2025-08-03
- DOI
- https://doi.org/10.5662/wjm.v15.i4.105493
- Primary Topic
- Machine Learning and Data Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00