Machine learning outperforms clinical experts in classification of hip fractures.
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| Title: | Machine learning outperforms clinical experts in classification of hip fractures. |
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| Authors: | Murphy EA; Institute for Mathematical Innovation, University of Bath, Bath, UK., Ehrhardt B; Institute for Mathematical Innovation, University of Bath, Bath, UK., Gregson CL; Musculoskeletal Research Unit, Bristol Medical School, University of Bristol, Bristol, UK.; MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK., von Arx OA; Royal United Hospital NHS Foundation Trust, Bath, UK., Hartley A; Musculoskeletal Research Unit, Bristol Medical School, University of Bristol, Bristol, UK.; MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK., Whitehouse MR; Musculoskeletal Research Unit, Bristol Medical School, University of Bristol, Bristol, UK.; Department of Trauma and Orthopaedics, North Bristol NHS Trust, Bristol, UK., Thomas MS; Royal United Hospital NHS Foundation Trust, Bath, UK., Stenhouse G; Royal United Hospital NHS Foundation Trust, Bath, UK., Chesser TJS; Department of Trauma and Orthopaedics, North Bristol NHS Trust, Bristol, UK., Budd CJ; Institute for Mathematical Innovation, University of Bath, Bath, UK.; Department of Mathematical Sciences, University of Bath, Bath, UK., Gill HS; Department of Mechanical Engineering, University of Bath, Bath, UK. r.gill@bath.ac.uk.; Centre for Therapeutic Innovation, University of Bath, Bath, UK. r.gill@bath.ac.uk. |
| Source: | Scientific reports [Sci Rep] 2022 Feb 08; Vol. 12 (1), pp. 2058. Date of Electronic Publication: 2022 Feb 08. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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