BECTS Substate Classification by Granger Causality Density Based Support Vector Machine Model

BECTS Substate Classification by Granger Causality Density Based Support Vector Machine Model

Objectives: To investigate the performance of substate classification of children with benign epilepsy with centrotemporal spikes (BECTS) by granger causality density (GCD) based support vector machine (SVM) model.Methods: Forty-two children with BECTS (21 females, 21 males; mean age, 8.6 ± 1.96 yea...

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Bibliographic Details
Main Authors: Xi-Jian Dai, Qiang Xu, Jianping Hu, QiRui Zhang, Yin Xu, Zhiqiang Zhang, Guangming Lu
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Neurology
Subjects:
benign epilepsy with centrotemporal spikes
granger causality density
seizure disorder
support vector machine
classification
prediction
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2019.01201/full

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https://www.frontiersin.org/article/10.3389/fneur.2019.01201/full

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