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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Detalles Bibliográficos
Autores principales: Lu, Zihe, Wang, Jialin, Wang, Fengqin, Wu, Zhoumin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690947/
https://www.ncbi.nlm.nih.gov/pubmed/38045613
http://dx.doi.org/10.3389/fpsyt.2023.1244208

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10690947/
https://www.ncbi.nlm.nih.gov/pubmed/38045613
http://dx.doi.org/10.3389/fpsyt.2023.1244208

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