(HealthDay)—An algorithm that can classify patients with juvenile idiopathic arthritis (JIA) into seven distinct groups based on patterns of swollen or painful joints in the body can help predict disease course, according to a study published online Feb. 26 in PLOS Medicine. Simon W.M. Eng, from the University of Toronto, and colleagues used unsupervised machine learning to uncover data-driven joint […]

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