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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley & Sons, Inc.
2023
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| Materias: | |
| 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 |