Delirium detection using wearable sensors and machine learning in patients with intracerebral hemorrhage

OBJECTIVE: Delirium is associated with worse outcomes in patients with stroke and neurocritical illness, but delirium detection in these patients can be challenging with existing screening tools. To address this gap, we aimed to develop and evaluate machine learning models that detect episodes of po...

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Detalles Bibliográficos
Autores principales: Ahmed, Abdullah, Garcia-Agundez, Augusto, Petrovic, Ivana, Radaei, Fatemeh, Fife, James, Zhou, John, Karas, Hunter, Moody, Scott, Drake, Jonathan, Jones, Richard N., Eickhoff, Carsten, Reznik, Michael E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288850/
https://www.ncbi.nlm.nih.gov/pubmed/37360342
http://dx.doi.org/10.3389/fneur.2023.1135472

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288850/
https://www.ncbi.nlm.nih.gov/pubmed/37360342
http://dx.doi.org/10.3389/fneur.2023.1135472

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