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Review
. 2020 Feb;16(2):69-70.
doi: 10.1038/s41584-019-0361-0.

Machine learning in rheumatology approaches the clinic

Affiliations
Review

Machine learning in rheumatology approaches the clinic

Aridaman Pandit et al. Nat Rev Rheumatol. 2020 Feb.
No abstract available

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References

    1. Sieberts, S. K. et al. Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis. Nat. Commun. 7, 12460 (2016). - DOI
    1. Kim, K. J. et al. Compendium of synovial signatures identifies pathologic characteristics for predicting treatment response in rheumatoid arthritis patients. Clin. Immunol. 202, 1–10 (2019). - DOI
    1. Guan, Y. et al. Machine learning to predict anti-TNF drug responses of rheumatoid arthritis patients by integrating clinical and genetic markers. Arthritis Rheum. 71, 1987–1996 (2019). - DOI
    1. Eng, S. W. M. et al. Patterns of joint involvement in juvenile idiopathic arthritis and prediction of disease course: a prospective study with multilayer non-negative matrix factorization. PLOS Med. 16, e1002750 (2019). - DOI
    1. Plenge, R. M. et al. Crowdsourcing genetic prediction of clinical utility in the Rheumatoid Arthritis Responder Challenge. Nat. Genet. 45, 468–469 (2013). - DOI

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