Classification of Level of Consciousness in a Neurological ICU Using Physiological Data.
Louis A GomezQi ShenKevin DoyleAthina VrosgouAngela VelazquezMurad MegjhaniShivani GhoshalDavid RohSachin AgarwalSoojin ParkJan ClaassenSamantha KleinbergPublished in: Neurocritical care (2022)
We find that physiological signals can be used to classify states of consciousness for patients in the ICU. Building on this with intraday assessments and increasing sensitivity and specificity may enable alarm systems that alert physicians to changes in consciousness and frequent monitoring of consciousness throughout the day, both of which may improve patient care and outcomes.
Keyphrases
- intensive care unit
- end stage renal disease
- newly diagnosed
- ejection fraction
- primary care
- chronic kidney disease
- machine learning
- prognostic factors
- mechanical ventilation
- peritoneal dialysis
- deep learning
- electronic health record
- patient reported outcomes
- big data
- skeletal muscle
- brain injury
- subarachnoid hemorrhage
- cerebral ischemia