Machine learning outperforms clinical experts in classification of hip fractures

Autor: Murphy, E A, Ehrhardt, Beate, Gregson, Celia L, Hartley, April E, Whitehouse, Michael R, Thomas, M S, Stenhouse, G, Chesser, Timothy J, Budd, C J, Gill, H S, Von Arx, O. A

Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Murphy, E A, Ehrhardt, B, Gregson, C L, Hartley, A E, Whitehouse, M R, Thomas, M S, Stenhouse, G, Chesser, T J, Budd, C J, Gill, H S & Von Arx, O A 2022, ' Machine learning outperforms clinical experts in classification of hip fractures ', Scientific Reports, vol. 12, no. 1, 2058 . https://doi.org/10.1038/s41598-022-06018-9

Hip fractures are a major cause of morbidity and mortality in the elderly, and incur high health and social care costs. Given projected population ageing, the number of incident hip fractures is predicted to increase globally. As fracture classificat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d869badf6f0dbf1592e4a218756bd52
https://doaj.org/article/f62664c5c1cd429282c175a98a0f367b

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

3-Cycle audit loop: Orthopaedic clerking proforma improves the quality of documentation for patient safety.

Autor: Oliphant, Z., Creed, J., Beddard, L., Pickering, G., Von Arx, O.

Publikováno v: International Journal of Surgery; Nov2015 Supplement 1, Vol. 23, pS81-S81, 1p

Rate of blood loss over 48 hours following total knee replacement.

Autor: Senthil Kumar G; Department of Trauma and Orthopaedics, Royal United Hospital Bath, Combe Park, Bath, BA1 3NG, United Kingdom. senthilbobby@hotmail.com, Von Arx OA, Pozo JL

Publikováno v: The Knee [Knee] 2005 Aug; Vol. 12 (4), pp. 307-9.