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

Background and purpose - Advancements in software and hardware have enabled the rise of clinical prediction models based on machine learning (ML) in orthopedic surgery. Given their growing popularity and their likely implementation in clinical practice we evaluated which outcomes these new models ha...

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Veröffentlicht in:	Acta orthopaedica Jg. 92; H. 5; S. 526 - 531
Hauptverfasser:	Ogink, Paul T, Groot, Olivier Q, Karhade, Aditya V, Bongers, Michiel E R, Oner, F Cumhur, Verlaan, Jorrit-Jan, Schwab, Joseph H
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Taylor & Francis 08.10.2021 Medical Journals Sweden
ISSN:	1745-3674, 1745-3682, 1745-3682
Online-Zugang:	Volltext
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