An Interpretable Machine Learning Method for the Detection of Schizophrenia Using EEG Signals
We acknowledge support by the Agencia Estatal de Investigación of Spain (CAIMAN, reference TEC2017-86921-C2-1-R and CLARA, reference RTI2018-099655-B-I00) and by the grant Science of the 074-02-2018-330.
| Autores: | , , |
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| Formato: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Recursos: | Universidad Rey Juan Carlos |
| Repositorio: | BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos |
| OAI Identifier: | oai:burjcdigital.urjc.es:10115/41483 |
| Acesso em linha: | https://hdl.handle.net/10115/41483 |
| Access Level: | acceso abierto |
| Palavra-chave: | electroencephalography machine learning random forest schizophrenia connectivity direct directed transfer function generalized partial directed coherence |
| Resumo: | We acknowledge support by the Agencia Estatal de Investigación of Spain (CAIMAN, reference TEC2017-86921-C2-1-R and CLARA, reference RTI2018-099655-B-I00) and by the grant Science of the 074-02-2018-330. |
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