A convolutional recurrent neural network with attention for response prediction to repetitive transcranial magnetic stimulation in major depressive disorder

Prediction of response to Repetitive Transcranial Magnetic Stimulation (rTMS) can build a very effective treatment platform that helps Major Depressive Disorder (MDD) patients to receive timely treatment. We proposed a deep learning model powered up by state-of-the-art methods to classify responders...

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Detalles Bibliográficos
Autores principales: Shahabi, Mohsen Sadat, Shalbaf, Ahmad, Rostami, Reza, Kazemi, Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287753/
https://www.ncbi.nlm.nih.gov/pubmed/37349335
http://dx.doi.org/10.1038/s41598-023-35545-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287753/
https://www.ncbi.nlm.nih.gov/pubmed/37349335
http://dx.doi.org/10.1038/s41598-023-35545-2

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