Application of graph frequency attention convolutional neural networks in depression treatment response

Application of graph frequency attention convolutional neural networks in depression treatment response

Depression, a prevalent global mental health disorder, necessitates precise treatment response prediction for the improvement of personalized care and patient prognosis. The Graph Convolutional Neural Networks (GCNs) have emerged as a promising technique for handling intricate signals and classifica...

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Bibliographic Details
Main Authors: Zihe Lu, Jialin Wang, Fengqin Wang, Zhoumin Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Psychiatry
Subjects:
classification
depression treatment response
EEG
graph convolutional neural networks
frequency attention
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1244208/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyt.2023.1244208/full

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