Machine Learning Approaches to the Prediction of Osteoarthritis Phenotypes and Outcomes
Author:
Funder
National Institute of Arthritis and Musculoskeletal and Skin Diseases
Publisher
Springer Science and Business Media LLC
Subject
Rheumatology
Link
https://link.springer.com/content/pdf/10.1007/s11926-023-01114-9.pdf
Reference49 articles.
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2. Kolasinski SL, Neogi T, Hochberg MC, Oatis C, Guyatt G, Block J, et al. 2019 American College of Rheumatology/Arthritis Foundation Guideline for the Management of Osteoarthritis of the Hand, Hip, and Knee. Arthritis Rheumatol. 2020;72(2):220–33.
3. Grässel S, Muschter D. Recent advances in the treatment of osteoarthritis. F1000Res. 2020;9:F1000 Faculty Rev–325. https://doi.org/10.12688/f1000research.22115.1.
4. Loos NL, Hoogendam L, Souer JS, Slijper HP, Andrinopoulou ER, Coppieters MW, et al. Machine learning can be used to predict function but not pain after surgery for thumb carpometacarpal osteoarthritis. Clin Orthop Relat Res. 2022;480(7):1271–84.
5. Bowes MA, Kacena K, Alabas OA, Brett AD, Dube B, Bodick N, et al. Machine-learning, MRI bone shape and important clinical outcomes in osteoarthritis: data from the Osteoarthritis Initiative. Ann Rheum Dis. 2021;80(4):502–8.
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