Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis

Multiple Sclerosis (MS) progresses at an unpredictable rate, but predictions on the disease course in each patient would be extremely useful to tailor therapy to the individual needs. We explore different machine learning (ML) approaches to predict whether a patient will shift from the initial Relap...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Seccia, Ruggiero, Gammelli, Daniele, Dominici, Fabio, Romano, Silvia, Landi, Anna Chiara, Salvetti, Marco, Tacchella, Andrea, Zaccaria, Andrea, Crisanti, Andrea, Grassi, Francesca, Palagi, Laura
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2020
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7083323/
https://ncbi.nlm.nih.gov/pubmed/32196512
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0230219
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