A lightweight convolutional neural network for assessing an EEG risk marker for sudden unexpected death in epilepsy.

Zhu, Cong; Kim, Yejin; Jiang, Xiaoqian; Lhatoo, Samden; Jaison, Hampson; Zhang, Guo-Qiang

Zhu, Cong; Kim, Yejin; Jiang, Xiaoqian; Lhatoo, Samden; Jaison, Hampson; Zhang, Guo-Qiang.

Afiliação

Zhu C; Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Kim Y; School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
Jiang X; School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
Lhatoo S; Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.
Jaison H; Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.
Zhang GQ; Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA. Guo-Qiang.Zhang@uth.tmc.edu.

BMC Med Inform Decis Mak ; 20(Suppl 12): 329, 2020 12 24.

Article em En | MEDLINE | ID: mdl-33357242

Assuntos

Morte Súbita Inesperada na Epilepsia; Eletroencefalografia; Humanos; Redes Neurais de Computação

Palavras-chave

Convolutional neural network; Deep learning; EEG suppression; PGES; Sudden death in epilepsy

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Morte Súbita Inesperada na Epilepsia Tipo de estudo: Etiology_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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