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Predicting neurological outcomes after in-hospital cardiac arrests for patients with Coronavirus Disease 2019

BACKGROUND: Machine learning models are more accurate than standard tools for predicting neurological outcomes in patients resuscitated after cardiac arrest. However, their accuracy in patients with Coronavirus Disease 2019 (COVID-19) is unknown. Therefore, we compared their performance in a cohort...

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Detalles Bibliográficos
Autores principales:	Mayampurath, Anoop, Bashiri, Fereshteh, Hagopian, Raffi, Venable, Laura, Carey, Kyle, Edelson, Dana, Churpek, Matthew
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier B.V. 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295318/ https://www.ncbi.nlm.nih.gov/pubmed/35868590 http://dx.doi.org/10.1016/j.resuscitation.2022.07.018

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