Analyzing of optimal classifier selection for EEG signals of depression patients based on intelligent fuzzy decision support systems

Electroencephalograms (EEG) is used to assess patients' clinical records of depression (EEG). The disorder of human thinking is a very complex problem caused by heavy-duty in daily life. We need some future and optimal classifier selection by using different techniques for depression data extra...

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Detalles Bibliográficos
Autores principales: Abdullah, Saleem, Abosuliman, Shougi S.
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/PMC10349151/
https://www.ncbi.nlm.nih.gov/pubmed/37452055
http://dx.doi.org/10.1038/s41598-023-36095-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349151/
https://www.ncbi.nlm.nih.gov/pubmed/37452055
http://dx.doi.org/10.1038/s41598-023-36095-3

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