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

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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Detalles Bibliográficos
Autores principales: Tacchella, Andrea, Romano, Silvia, Ferraldeschi, Michela, Salvetti, Marco, Zaccaria, Andrea, Crisanti, Andrea, Grassi, Francesca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5990125/
https://www.ncbi.nlm.nih.gov/pubmed/29904574
http://dx.doi.org/10.12688/f1000research.13114.2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5990125/
https://www.ncbi.nlm.nih.gov/pubmed/29904574
http://dx.doi.org/10.12688/f1000research.13114.2

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