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Predicting Total Knee Replacement in Knee Osteoarthritis Using a Machine-Learning–Guided Approach in patients of the Osteoarthritis Initiative (OAI)

2025-10-29

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> To develop a pragmatic model to predict total knee replacement (TKR) in knee osteoarthritis (OA) using non-imaging clinical, genetic, and lifestyle data with machine-learning (ML)–guided feature selection. <h4>Methods</h4> We analyzed 3,790 Osteoarthritis Initiative (OAI) participants. Nested ML feature selection on the training set identified 15 informative variables. Class...

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Literature Corpus work
754bd66f-86da-594b-9aba-3a80af64a8d2
DOI
10.1101/2025.10.28.25338966
Open publication

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Predicting Total Knee Replacement in Knee Osteoarthritis Using a Machine-Learning–Guided Approach in patients of the Osteoarthritis Initiative (OAI)DOI 10.1101/2025.10.28.25338966
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