Weak supervision as an efficient approach for automated seizure detection in electroencephalography

Automated seizure detection from electroencephalography (EEG) would improve the quality of patient care while reducing medical costs, but achieving reliably high performance across patients has proven difficult. Convolutional Neural Networks (CNNs) show promise in addressing this problem, but they a...

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Detalles Bibliográficos
Autores principales: Saab, Khaled, Dunnmon, Jared, Ré, Christopher, Rubin, Daniel, Lee-Messer, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170880/
https://www.ncbi.nlm.nih.gov/pubmed/32352037
http://dx.doi.org/10.1038/s41746-020-0264-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170880/
https://www.ncbi.nlm.nih.gov/pubmed/32352037
http://dx.doi.org/10.1038/s41746-020-0264-0

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