Comparison of machine learning models for seizure prediction in hospitalized patients
Abstract Objective To compare machine learning methods for predicting inpatient seizures risk and determine the feasibility of 1‐h screening EEG to identify low‐risk patients (<5% seizures risk in 48 h). Methods The Critical Care EEG Monitoring Research Consortium (CCEMRC) multicenter database co...
Main Authors: | , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2019-07-01
|
Series: | Annals of Clinical and Translational Neurology |
Online Access: | https://doi.org/10.1002/acn3.50817 |