Prediction of quality-of-life improvement after total hip arthroplasty
We developed an interpretable machine learning model on a Swedish cohort that may facilitate personalized assessment of meaningful clinical improvement after elective THA.
Authors
- Alexander D. Liddle (ORCID: https://orcid.org/0000-0001-6135-1996)
- Henrik Malchau (ORCID: https://orcid.org/0000-0002-4291-2441)
- Ola Rolfson (ORCID: https://orcid.org/0000-0001-6534-1242)
- M. Abdulhadi Alagha (ORCID: https://orcid.org/0000-0002-1097-7793)
- Justin Peter Cobb (ORCID: https://orcid.org/0000-0002-6095-8822)
- Maziar Mohaddes (ORCID: https://orcid.org/0000-0003-1848-9054)
Institutions
- Harvard University (US)
- Lund University (SE)
- Hässleholms Sjukhus (SE)
- Imperial College London (GB)
- University of Gothenburg (SE)
Publication Details
- Journal
- Bone & Joint Open
- Published
- 2025-11-21
- DOI
- https://doi.org/10.1302/2633-1462.611.bjo-2025-0138.r1
- Primary Topic
- Total Knee Arthroplasty Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00