Machine learning for the early prediction of infants with electrographic seizures in neonatal hypoxic-ischemic encephalopathy.
Epilepsia(2023)
Abstract
Early EEG background analysis combined with readily available clinical data helped predict infants who were at highest risk of seizures, hours before they occur. Automated quantitative-EEG analysis was as good as expert analysis for predicting seizures, supporting the use of automated assessment tools for early evaluation of HIE.
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Key words
machine learning,neonatal encephalopathy,neonatal seizures,neonates,prediction algorithm
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