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...
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 |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-04-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-024-46663-4 |
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