Literature DB >> 23114082

Can we predict the evolution of an unpredictable disease like multiple sclerosis?

R Bergamaschi.   

Abstract

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Year:  2012        PMID： 23114082     DOI： 10.1111/ene.12020

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN： 1351-5101            Impact factor:   6.089


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  4 in total

Review 1.  Precision medicine in chronic disease management: The multiple sclerosis BioScreen.

Authors:  Pierre-Antoine Gourraud; Roland G Henry; Bruce A C Cree; Jason C Crane; Antoine Lizee; Marram P Olson; Adam V Santaniello; Esha Datta; Alyssa H Zhu; Carolyn J Bevan; Jeffrey M Gelfand; Jennifer S Graves; Douglas S Goodin; Ari J Green; H-Christian von Büdingen; Emmanuelle Waubant; Scott S Zamvil; Elizabeth Crabtree-Hartman; Sarah Nelson; Sergio E Baranzini; Stephen L Hauser
Journal:  Ann Neurol       Date:  2014-10-14       Impact factor: 10.422

2.  Risk-benefit considerations in the treatment of relapsing-remitting multiple sclerosis.

Authors:  Alessandra Lugaresi; Maria di Ioia; Daniela Travaglini; Erika Pietrolongo; Eugenio Pucci; Marco Onofrj
Journal:  Neuropsychiatr Dis Treat       Date:  2013-06-24       Impact factor: 2.570

3.  Exploration of machine learning techniques in predicting multiple sclerosis disease course.

Authors:  Yijun Zhao; Brian C Healy; Dalia Rotstein; Charles R G Guttmann; Rohit Bakshi; Howard L Weiner; Carla E Brodley; Tanuja Chitnis
Journal:  PLoS One       Date:  2017-04-05       Impact factor: 3.240

Review 4.  Machine Learning Use for Prognostic Purposes in Multiple Sclerosis.

Authors:  Ruggiero Seccia; Silvia Romano; Marco Salvetti; Andrea Crisanti; Laura Palagi; Francesca Grassi
Journal:  Life (Basel)       Date:  2021-02-05
  4 in total

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