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Risk stratification for the rapid pain progression phenotype in knee osteoarthritis using interpretable multimodal machine learning: Development in the Osteoarthritis Initiative and external evaluation in the Prospective Cohort of Osteoarthritis from A Coruña

2026-07-23

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> To develop an interpretable multimodal machine-learning model for risk stratification of the rapid pain progression phenotype in knee osteoarthritis and to evaluate its performance in the independent PROCOAC cohort. <h4>Methods</h4> An elastic-net logistic regression model was trained using Osteoarthritis Initiative (OAI) data. Rapid pain progression was defined over overlap...

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Literature Corpus work
df2c575e-5079-5eb8-ab6b-5f365159ccd3
DOI
10.64898/2026.07.21.26357764
Open publication

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Risk stratification for the rapid pain progression phenotype in knee osteoarthritis using interpretable multimodal machine learning: Development in the Osteoarthritis Initiative and external evaluation in the Prospective Cohort of Osteoarthritis from A CoruñaDOI 10.64898/2026.07.21.26357764
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