most citedImproving Clinician Performance in Classification of EEG Patterns on the Ictal-Interictal-Injury Continuum using Interpretable Machine Learning

32 citations · 60 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2022★ 32 cited

Improving Clinician Performance in Classification of EEG Patterns on the Ictal-Interictal-Injury Continuum using Interpretable Machine Learning

Alina Jade Barnett, Zhicheng Guo, Jin Jing +12

In intensive care units (ICUs), critically ill patients are monitored with electroencephalograms (EEGs) to prevent serious brain injury. The number of patients who can be monitored…

stat.ME2022★ 28 cited

Effects of Epileptiform Activity on Discharge Outcome in Critically Ill Patients

Harsh Parikh, Kentaro Hoffman, Haoqi Sun +10

Epileptiform activity (EA) is associated with worse outcomes including increased risk of disability and death. However, the effect of EA on the neurologic outcome is confounded by…