Collaboration between a human group and artificial intelligence can improve prediction of multiple sclerosis course: a proof-of-principle study [version 1; referees: 1 approved, 2 approved with reservations]

Collaboration between a human group and artificial intelligence can improve prediction of multiple sclerosis course: a proof-of-principle study [version 1; referees: 1 approved, 2 approved with reservations]

Background: 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 progre...

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Bibliographic Details
Main Authors: Andrea Tacchella, Silvia Romano, Michela Ferraldeschi, Marco Salvetti, Andrea Zaccaria, Andrea Crisanti, Francesca Grassi
Format: Article
Language:English
Published: F1000 Research Ltd 2017-12-01
Series:F1000Research
Subjects:
Neuromuscular Diseases
Theory & Simulation
Online Access:https://f1000research.com/articles/6-2172/v1

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