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...

Descripción completa

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

Internet

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

Ejemplares similares