Article

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

2024-01-26

Abstract excerpt

<title>Abstract</title> <p>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 Initiativ...

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Literature Corpus work: 1db925bc-cb6b-5391-8538-64f0d585b25a
DOI: 10.21203/rs.3.rs-3855831/v1

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