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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Detalles Bibliográficos
Autores principales: Ogink, Paul T, Groot, Olivier Q, Karhade, Aditya V, Bongers, Michiel E R, Oner, F Cumhur, Verlaan, Jorrit-Jan, Schwab, Joseph H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519550/
https://www.ncbi.nlm.nih.gov/pubmed/34109892
http://dx.doi.org/10.1080/17453674.2021.1932928

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519550/
https://www.ncbi.nlm.nih.gov/pubmed/34109892
http://dx.doi.org/10.1080/17453674.2021.1932928

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