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

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

ObjectiveDelirium 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 post...

Full description

Bibliographic Details
Main Authors: Abdullah Ahmed, Augusto Garcia-Agundez, Ivana Petrovic, Fatemeh Radaei, James Fife, John Zhou, Hunter Karas, Scott Moody, Jonathan Drake, Richard N. Jones, Carsten Eickhoff, Michael E. Reznik
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Neurology
Subjects:
delirium
neurocritical care
stroke
intracerebral hemorrhage
actigraphy
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2023.1135472/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2023.1135472/full

Similar Items