Explainable machine learning to predict prolonged post-operative opioid use in rotator cuff patients
We were able to develop predictive machine learning models that displayed predictive accuracy in predicting prolonged post-operative opioid use while improving model explainability and transparency.
Authors
- Liane M. Miller (ORCID: https://orcid.org/0000-0002-6370-1627)
- Bambang Parmanto (ORCID: https://orcid.org/0000-0002-4907-8402)
- Albert Lin (ORCID: https://orcid.org/0000-0003-4204-3482)
- Ahmad P. Tafti (ORCID: https://orcid.org/0000-0001-9650-2862)
- Jason Guattery (ORCID: https://orcid.org/0000-0003-1875-9018)
- James J. Irrgang
Institutions
- University of Pittsburgh (US)
- University of Pennsylvania (US)
Publication Details
- Journal
- BMC Musculoskeletal Disorders
- Published
- 2025-12-12
- DOI
- https://doi.org/10.1186/s12891-025-09301-8
- Citations
- 2
- Primary Topic
- Opioid Use Disorder Treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.76