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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Bibliographic Details
Published in:	Medicine (Baltimore) Vol. 104; no. 42; p. e45230
Main Authors:	Zhang, Hongxia, Jiang, Lina, Zheng, Jiang, Li, Chuanbo
Format:	Journal Article
Language:	English
Published:	United States 17.10.2025
Subjects:	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
Online Access:	Get more information
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