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Acta Orthopaedica Volume 92, 2021 - Issue 5
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Research Article

Wide range of applications for machine-learning prediction models in orthopedic surgical outcome: a systematic review

Paul T Oginka Department of Orthopedic Surgery, University Medical Center Utrecht – Utrecht University, Utrecht, The NetherlandsCorrespondence[email protected]
,
Olivier Q Grootb Department of Orthopedic Surgery, Orthopedic Oncology Service, Massachusetts General Hospital – Harvard Medical School, Boston, USA
,
Aditya V Karhadeb Department of Orthopedic Surgery, Orthopedic Oncology Service, Massachusetts General Hospital – Harvard Medical School, Boston, USA
,
Michiel E R Bongersb Department of Orthopedic Surgery, Orthopedic Oncology Service, Massachusetts General Hospital – Harvard Medical School, Boston, USA
,
F Cumhur Onera Department of Orthopedic Surgery, University Medical Center Utrecht – Utrecht University, Utrecht, The Netherlands
,
Jorrit-Jan Verlaana Department of Orthopedic Surgery, University Medical Center Utrecht – Utrecht University, Utrecht, The Netherlands
&
Joseph H Schwabb Department of Orthopedic Surgery, Orthopedic Oncology Service, Massachusetts General Hospital – Harvard Medical School, Boston, USA
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Pages 526-531 | Received 15 Nov 2020, Accepted 14 Apr 2021, Published online: 10 Jun 2021

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Katarzyna Kolasa, Bisrat Admassu, Malwina Hołownia-Voloskova, Katarzyna J Kędzior, Jean-Etienne Poirrier & Stefano Perni. (2023) Systematic reviews of machine learning in healthcare: a literature review. Expert Review of Pharmacoeconomics & Outcomes Research 0:0, pages 1-53.
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Olivier Q Groot, Bas J J Bindels, Paul T Ogink, Neal D Kapoor, Peter K Twining, Austin K Collins, Michiel E R Bongers, Amanda Lans, Jacobien H F Oosterhoff, Aditya V Karhade, Jorrit-Jan Verlaan & Joseph H Schwab. (2021) Availability and reporting quality of external validations of machine-learning prediction models with orthopedic surgical outcomes: a systematic review. Acta Orthopaedica 92:4, pages 385-393.
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