Availability and reporting quality of external validations of machine-learning prediction models with orthopedic surgical outcomes: a systematic review

Background and purpose — External validation of machine learning (ML) prediction models is an essential step before clinical application. We assessed the proportion, performance, and transparent reporting of externally validated ML prediction models in orthopedic surgery, using the Transparent Repor...

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Detalles Bibliográficos
Autores principales: Groot, Olivier Q, Bindels, Bas J J, Ogink, Paul T, Kapoor, Neal D, Twining, Peter K, Collins, Austin K, Bongers, Michiel E R, Lans, Amanda, Oosterhoff, Jacobien H F, Karhade, Aditya V, 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/PMC8436968/
https://www.ncbi.nlm.nih.gov/pubmed/33870837
http://dx.doi.org/10.1080/17453674.2021.1910448

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8436968/
https://www.ncbi.nlm.nih.gov/pubmed/33870837
http://dx.doi.org/10.1080/17453674.2021.1910448

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