Evaluation of machine learning algorithms performance for the prediction of early multiple sclerosis from resting-state FMRI connectivity data.

Machine Learning application on clinical data in order to support diagnosis and prognostic evaluation arouses growing interest in scientific community. However, choice of right algorithm to use was fundamental to perform reliable and robust classification. Our study aimed to explore if different kin...

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Bibliographic Details

Published in:	Brain Imaging & Behavior Vol. 13; no. 4; pp. 1103 - 1115
Main Authors:	Saccà, Valeria, Sarica, Alessia, Novellino, Fabiana, Barone, Stefania, Tallarico, Tiziana, Filippelli, Enrica, Granata, Alfredo, Chiriaco, Carmelina, Bruno Bossio, Roberto, Valentino, Paola, Quattrone, Aldo
Format:	research Journal Article
Published:	Springer Nature Aug2019
Online Access:	View this record in EBSCOhost