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An Interpretable Machine Learning Method for the Detection of Schizophrenia Using EEG Signals
In this work we propose a machine learning (ML) method to aid in the diagnosis of schizophrenia using electroencephalograms (EEGs) as input data. The computational algorithm not only yields a proposal of diagnostic but, even more importantly, it provides additional information that admits clinical i...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8194273/ https://www.ncbi.nlm.nih.gov/pubmed/34122021 http://dx.doi.org/10.3389/fnsys.2021.652662 |