Managing class imbalance in the training of a large language model to predict patient selection for total knee arthroplasty : Results from the Artificial intelligence to Revolutionise the patient Care pathway in Hip and knEe aRthroplastY (ARCHERY) project
| dc.contributor.author | Farrow, Luke | |
| dc.contributor.author | Anderson, Lesley | |
| dc.contributor.author | Zhong, Mingjun | |
| dc.contributor.institution | University of Aberdeen.Other Applied Health Sciences | en |
| dc.contributor.institution | University of Aberdeen.Vice Principals | en |
| dc.contributor.institution | University of Aberdeen.Grampian Data Safe Haven (DaSH) | en |
| dc.contributor.institution | University of Aberdeen.Aberdeen Cancer Centre | en |
| dc.contributor.institution | University of Aberdeen.Aberdeen Biomedical Imaging Centre | en |
| dc.contributor.institution | University of Aberdeen.Aberdeen Centre for Health Data Science | en |
| dc.contributor.institution | University of Aberdeen.Centre for Energy Transition | en |
| dc.contributor.institution | University of Aberdeen.Machine Learning | en |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.date.accessioned | 2025-02-28T11:18:01Z | |
| dc.date.available | 2025-02-28T11:18:01Z | |
| dc.date.issued | 2025-06 | |
| dc.description | The authors are grateful to the team at the Grampian Data Safe Haven for their assistance in access to the included data and to the CSO for funding the project. | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 8 | |
| dc.format.extent | 597473 | |
| dc.identifier | 301822620 | |
| dc.identifier | dad55c75-f53d-451c-b13f-4fa12f55ead6 | |
| dc.identifier | 85218854087 | |
| dc.identifier.citation | Farrow, L, Anderson, L & Zhong, M 2025, 'Managing class imbalance in the training of a large language model to predict patient selection for total knee arthroplasty : Results from the Artificial intelligence to Revolutionise the patient Care pathway in Hip and knEe aRthroplastY (ARCHERY) project', Knee, vol. 54, pp. 1-8. https://doi.org/10.1016/j.knee.2025.02.007 | en |
| dc.identifier.doi | 10.1016/j.knee.2025.02.007 | |
| dc.identifier.issn | 0968-0160 | |
| dc.identifier.other | RIS: urn:8BC40053134F7158B854879B42B45B9A | |
| dc.identifier.other | ORCID: /0000-0002-1525-1270/work/179300256 | |
| dc.identifier.other | ORCID: /0000-0002-1000-3649/work/179300144 | |
| dc.identifier.other | ORCID: /0000-0002-1443-5908/work/179748792 | |
| dc.identifier.uri | https://hdl.handle.net/2164/25109 | |
| dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0968016025000213 | en |
| dc.identifier.vol | 54 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Knee | en |
| dc.subject | Artificial intelligence | en |
| dc.subject | Natural language processing | en |
| dc.subject | Large language model | en |
| dc.subject | Knee | en |
| dc.subject | Arthroplasty | en |
| dc.subject | Class imbalance | en |
| dc.subject | R Medicine (General) | en |
| dc.subject.lcc | R1 | en |
| dc.title | Managing class imbalance in the training of a large language model to predict patient selection for total knee arthroplasty : Results from the Artificial intelligence to Revolutionise the patient Care pathway in Hip and knEe aRthroplastY (ARCHERY) project | en |
| dc.type | Journal article | en |
Files
Original bundle
1 - 1 of 1
- Name:
- Farrow_TK_Managing_class_imbalance_VOR.pdf
- Size:
- 583.47 KB
- Format:
- Adobe Portable Document Format