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Article

Disease progression and clinical outcomes in latent osteoarthritis phenotypes: Data from the Osteoarthritis Initiative

2023-12-15

Abstract excerpt

The prevalence of knee osteoarthritis (OA) is widespread and the heterogeneous patient factors and clinical symptoms in OA patients impede developing personalized treatments for OA patients. In this study, we used unsupervised and supervised machine learning to organize the heterogeneity in knee OA patients and predict disease progression in individuals from the Osteoarthritis Initiative (OAI) dataset. We identifi...

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Identifiers and source

Literature Corpus work
a943cf6c-17d9-56c9-a0aa-e138f23e40e3
DOI
10.1101/2023.12.14.23299525
Open publication

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Disease progression and clinical outcomes in latent osteoarthritis phenotypes: Data from the Osteoarthritis InitiativeDOI 10.1101/2023.12.14.23299525
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