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A lightweight convolutional neural network for assessing an EEG risk marker for sudden unexpected death in epilepsy
BACKGROUND: Convolutional neural network (CNN) has achieved state-of-art performance in many electroencephalogram (EEG) related studies. However, the application of CNN in prediction of risk factors for sudden unexpected death in epilepsy (SUDEP) remains as an underexplored area. It is unclear how t...
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| Publié dans: | BMC Med Inform Decis Mak |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7758925/ https://ncbi.nlm.nih.gov/pubmed/33357242 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-020-01310-y |
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