Monitoring the Burden of Seizures and Highly Epileptiform Patterns in Critical Care with a Novel Machine Learning Method

INTRODUCTION: Current electroencephalography (EEG) practice relies on interpretation by expert neurologists, which introduces diagnostic and therapeutic delays that can impact patients’ clinical outcomes. As EEG practice expands, these experts are becoming increasingly limited resources. A highly se...

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Detalhes bibliográficos
Publicado no:Neurocrit Care
Main Authors: Kamousi, Baharan, Karunakaran, Suganya, Gururangan, Kapil, Markert, Matthew, Decker, Barbara, Khankhanian, Pouya, Mainardi, Laura, Quinn, James, Woo, Raymond, Parvizi, Josef
Formato: Artigo
Idioma:Inglês
Publicado em: Springer US 2020
Assuntos:
Original work (Clinical Investigation, Basic Science)
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8021593/
https://ncbi.nlm.nih.gov/pubmed/33025543
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12028-020-01120-0
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