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Collaboration between a human group and artificial intelligence can improve prediction of multiple sclerosis course: a proof-of-principle study

2018-08-01

Abstract excerpt

<h4>Background: </h4> Multiple sclerosis has an extremely variable natural course. In most patients, disease starts with a relapsing-remitting (RR) phase, which proceeds to a secondary progressive (SP) form. The duration of the RR phase is hard to predict, and to date predictions on the rate of disease progression remain suboptimal. This limits the opportunity to tailor therapy on an individual patient's prognosis...

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Literature Corpus work
4e89d888-bc80-53cd-95f3-d14693b55d3a
DOI
10.12688/f1000research.13114.2
Open publication

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Collaboration between a human group and artificial intelligence can improve prediction of multiple sclerosis course: a proof-of-principle studyDOI 10.12688/f1000research.13114.2
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