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Systematic review of machine-learning models in orthopaedic..:

Hidde Dijkstra ; Anouk van de Kuit ; Tom de Groot...
https://online.boneandjoint.org.uk/doi/epdf/10.1302/2633-1462.51.BJO-2023-0095.R1. , 2024

Link: https://doi.org/10.1302/2633-1462.51.BJO-2023-0095.R1

RT Journal
T1 <Title>Systematic review of machine-learning models in orthopaedic trauma: an overview and quality assessment of 45 studies</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:da7b666159aa4867aae5bbb1120810ef&Exemplar=1&LAN=DE
				
A1 Hidde Dijkstra
A1 Anouk van de Kuit
A1 Tom de Groot
A1 Olga Canta
A1 Olivier Q. Groot
A1 Jacobien H. Oosterhoff
A1 Job N. Doornberg
A1 On behalf of the Machine Learning Consortium
PB The British Editorial Society of Bone & Joint Surgery
YR 2024
K1 systematic review
K1 machine learning
K1 orthopaedic trauma
K1 quality assessment
K1 clinicians
K1 hip fracture
K1 prognosis
K1 orthopaedic trauma surgery
K1 logistic regression techniques
K1 imaging studies
K1 anterior cruciate ligament
K1 revision surgery
K1 elective orthopaedic surgery
K1 Orthopedic surgery
K1 RD701-811
JF https://online.boneandjoint.org.uk/doi/epdf/10.1302/2633-1462.51.BJO-2023-0095.R1
LK http://dx.doi.org/https://doi.org/10.1302/2633-1462.51.BJO-2023-0095.R1
DO https://doi.org/10.1302/2633-1462.51.BJO-2023-0095.R1
SF ELIB - SuUB Bremen

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