Data-driven identification of predictive risk biomarkers for subgroups of osteoarthritis using interpretable machine learning

Data-driven identification of predictive risk biomarkers for subgroups of osteoarthritis using interpretable machine learning

Abstract Osteoarthritis (OA) is increasing in prevalence and has a severe impact on patients’ lives. However, our understanding of biomarkers driving OA risk remains limited. We developed a model predicting the five-year risk of OA diagnosis, integrating retrospective clinical, lifestyle and biomark...

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Bibliographic Details
Main Authors: Rikke Linnemann Nielsen, Thomas Monfeuga, Robert R. Kitchen, Line Egerod, Luis G. Leal, August Thomas Hjortshøj Schreyer, Frederik Steensgaard Gade, Carol Sun, Marianne Helenius, Lotte Simonsen, Marianne Willert, Abd A. Tahrani, Zahra McVey, Ramneek Gupta
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-46663-4

Internet

https://doi.org/10.1038/s41467-024-46663-4

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