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A hybrid deep neural network for classification of schizophrenia using EEG Data
Schizophrenia is a serious mental illness that causes great harm to patients, so timely and accurate detection is essential. This study aimed to identify a better feature to represent electroencephalography (EEG) signals and improve the classification accuracy of patients with schizophrenia and heal...
Tallennettuna:
| Julkaisussa: | Sci Rep |
|---|---|
| Päätekijät: | , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Nature Publishing Group UK
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7907145/ https://ncbi.nlm.nih.gov/pubmed/33633134 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-83350-6 |
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