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

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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Taylor & Francis Group 2021-07-01
Series:Acta Orthopaedica
Online Access:http://dx.doi.org/10.1080/17453674.2021.1910448

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http://dx.doi.org/10.1080/17453674.2021.1910448

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