dc.contributor.author | Farrow, Luke | |
dc.contributor.author | Zhong, M. | |
dc.contributor.author | Anderson, L. | |
dc.contributor.author | Ashcroft, G.P. | |
dc.contributor.author | Meek, R. M. D. | |
dc.date.accessioned | 2022-08-10T23:09:03Z | |
dc.date.available | 2022-08-10T23:09:03Z | |
dc.date.issued | 2021-12-12 | |
dc.identifier | 199190273 | |
dc.identifier | 9786734c-2103-47e0-8d12-ab0a716f5fd0 | |
dc.identifier | 000726533800002 | |
dc.identifier | 000726533800002 | |
dc.identifier | 85122456351 | |
dc.identifier.citation | Farrow , L , Zhong , M , Anderson , L , Ashcroft , G P & Meek , R M D 2021 , ' Interpretation and Reporting of Predictive or Diagnostic Machine Learning Research in Trauma & Orthopaedics ' , Bone and Joint Journal , vol. 103B , no. 12 , pp. 1754-1758 . https://doi.org/10.1302/0301-620X.103B12.BJJ-2021-0851.R1 | en |
dc.identifier.issn | 2049-4408 | |
dc.identifier.other | ORCID: /0000-0002-1000-3649/work/105177239 | |
dc.identifier.other | ORCID: /0000-0002-1525-1270/work/105177297 | |
dc.identifier.other | ORCID: /0000-0002-5374-624X/work/105177894 | |
dc.identifier.uri | https://hdl.handle.net/2164/19056 | |
dc.format.extent | 5 | |
dc.format.extent | 176699 | |
dc.language.iso | eng | |
dc.relation.ispartof | Bone and Joint Journal | en |
dc.subject | ARTIFICIAL-INTELLIGENCE | en |
dc.subject | KAPPA | en |
dc.subject | R Medicine | en |
dc.subject.lcc | R | en |
dc.title | Interpretation and Reporting of Predictive or Diagnostic Machine Learning Research in Trauma & Orthopaedics | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Other Applied Health Sciences | en |
dc.contributor.institution | University of Aberdeen.Aberdeen Centre for Arthritis and Musculoskeletal Health (ACAMH) | en |
dc.contributor.institution | University of Aberdeen.Computing Science | en |
dc.contributor.institution | University of Aberdeen.Medical Education | en |
dc.contributor.institution | University of Aberdeen.Machine Learning | en |
dc.contributor.institution | University of Aberdeen.Aberdeen Centre for Health Data Science | en |
dc.contributor.institution | University of Aberdeen.Grampian Data Safe Haven (DaSH) | en |
dc.description.status | Peer reviewed | en |
dc.identifier.doi | 10.1302/0301-620X.103B12.BJJ-2021-0851.R1 | |
dc.date.embargoedUntil | 2022-08-11 | |
dc.identifier.vol | 103 | en |
dc.identifier.iss | 12 | en |