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03/09/2019

Machine learning could eliminate unnecessary treatments for children with arthritis

Machine learning algorithm was able to sort children with arthritis into seven distinct types of disease according to the location of painful joints in the body in a way that was predictive of disease outcome. This will help physicians to better tailor treatment so that patients who are more likely to develop milder form of disease can be spared medications that can have serious side effects.

Source: Simon W. M. Eng, Florence A. Aeschlimann, Mira van Veenendaal, Roberta A. Berard, Alan M. Rosenberg, Quaid Morris, Rae S. M. Yeung. Patterns of joint involvement in juvenile idiopathic arthritis and prediction of disease course: A prospective study with multilayer non-negative matrix factorization. PLOS Medicine, 2019; 16 (2): e1002750 DOI: 10.1371/journal.pmed.1002750


https://www.sciencedaily.com/releases/2019/02/190226144310.htm



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