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Machine learning for the early prediction of infants with electrographic seizures in neonatal hypoxic‐ischemic encephalopathy

OBJECTIVE: To assess if early clinical and electroencephalography (EEG) features predict later seizure development in infants with hypoxic‐ischemic encephalopathy (HIE). METHODS: Clinical and EEG parameters <12 h of birth from infants with HIE across eight European Neonatal Units were used to dev...

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Detalles Bibliográficos
Autores principales:	Pavel, Andreea M., O'Toole, John M., Proietti, Jacopo, Livingstone, Vicki, Mitra, Subhabrata, Marnane, William P., Finder, Mikael, Dempsey, Eugene M., Murray, Deirdre M., Boylan, Geraldine B.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2022
Materias:	Research Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10107538/ https://www.ncbi.nlm.nih.gov/pubmed/36398397 http://dx.doi.org/10.1111/epi.17468

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