A machine-learning algorithm for neonatal seizure recognition: a multicentre, randomised, controlled trial

BACKGROUND: Despite the availability of continuous conventional electroencephalography (cEEG), accurate diagnosis of neonatal seizures is challenging in clinical practice. Algorithms for decision support in the recognition of neonatal seizures could improve detection. We aimed to assess the diagnost...

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Detalles Bibliográficos
Autores principales: Pavel, Andreea M, Rennie, Janet M, de Vries, Linda S, Blennow, Mats, Foran, Adrienne, Shah, Divyen K, Pressler, Ronit M, Kapellou, Olga, Dempsey, Eugene M, Mathieson, Sean R, Pavlidis, Elena, van Huffelen, Alexander C, Livingstone, Vicki, Toet, Mona C, Weeke, Lauren C, Finder, Mikael, Mitra, Subhabrata, Murray, Deirdre M, Marnane, William P, Boylan, Geraldine B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd 2020
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492960/
https://www.ncbi.nlm.nih.gov/pubmed/32861271
http://dx.doi.org/10.1016/S2352-4642(20)30239-X

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492960/
https://www.ncbi.nlm.nih.gov/pubmed/32861271
http://dx.doi.org/10.1016/S2352-4642(20)30239-X

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