Evaluation of machine learning algorithms performance for the prediction of early multiple sclerosis from resting-state FMRI connectivity data
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Title
Evaluation of machine learning algorithms performance for the prediction of early multiple sclerosis from resting-state FMRI connectivity data
Authors
Keywords
Resting state fMRI, Support vector machine, Random Forest, Naïve Bayes, K-nearest-neighbor, Artificial neural network
Journal
Brain Imaging and Behavior
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2018-07-11
DOI
10.1007/s11682-018-9926-9
References
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