Supervised machine learning-based bias risk of prognostic models for total knee or hip arthroplasty patients: A systematic review

As various machine learning (ML) algorithms have become more popular in orthopedic surgery, the research quality of these models requires further evaluation, and the methodological quality of the models still needs to be clarified. This study aimed to comprehensively analyze and evaluate the potenti...

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Vydané v:	Medicine (Baltimore) Ročník 104; číslo 42; s. e45230
Hlavní autori:	Zhang, Hongxia, Jiang, Lina, Zheng, Jiang, Li, Chuanbo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 17.10.2025
Predmet:	Arthroplasty, Replacement, Hip - statistics & numerical data Arthroplasty, Replacement, Knee - statistics & numerical data Bias Humans Prediction Algorithms Predictive Learning Models - standards Prognosis Risk Assessment - methods Risk Assessment - standards Software Validation Supervised Machine Learning - standards supervised machine learning risk bias systematic review prognostic model arthroplasty
ISSN:	1536-5964, 1536-5964
On-line prístup:	Zistit podrobnosti o prístupe
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