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Transformers for autonomous recognition of psychiatric dysfunction via raw and imbalanced EEG signals
Early identification of mental disorders, based on subjective interviews, is extremely challenging in the clinical setting. There is a growing interest in developing automated screening tools for potential mental health problems based on biological markers. Here, we demonstrate the feasibility of an...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10492733/ https://www.ncbi.nlm.nih.gov/pubmed/37689601 http://dx.doi.org/10.1186/s40708-023-00201-y |