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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2023
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| Materias: | |
| 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 |