Machine Learning to Support Triage of Children at Risk for Epileptic Seizures in the Pediatric Intensive Care Unit. (arXiv:2205.05389v1 [cs.LG])

Web: http://arxiv.org/abs/2205.05389

Objective: Epileptic seizures are relatively common in critically-ill
children admitted to the pediatric intensive care unit (PICU) and thus serve as
an important target for identification and treatment. Most of these seizures
have no discernible clinical manifestation but still have a significant impact
on morbidity and mortality. Children that are deemed at risk for seizures
within the PICU are monitored using continuous-electroencephalogram (cEEG).
cEEG monitoring cost is considerable and as the number of available machines is
always limited, clinicians need …

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