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
