Sex‐related patterns in the electroencephalogram and their relevance in machine learning classifiers

Deep learning is increasingly being proposed for detecting neurological and psychiatric diseases from electroencephalogram (EEG) data but the method is prone to inadvertently incorporate biases from training data and exploit illegitimate patterns. The recent demonstration that deep learning can dete...

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Detalles Bibliográficos
Autores principales: Jochmann, Thomas, Seibel, Marc S., Jochmann, Elisabeth, Khan, Sheraz, Hämäläinen, Matti S., Haueisen, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2023
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472918/
https://www.ncbi.nlm.nih.gov/pubmed/37461294
http://dx.doi.org/10.1002/hbm.26417

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472918/
https://www.ncbi.nlm.nih.gov/pubmed/37461294
http://dx.doi.org/10.1002/hbm.26417

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