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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Detalhes bibliográficos
Publicado no:Lancet Child Adolesc Health
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Elsevier Ltd 2020
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Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7492960/
https://ncbi.nlm.nih.gov/pubmed/32861271
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/S2352-4642(20)30239-X
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