Machine learning for the early prediction of infants with electrographic seizures in neonatal hypoxic-ischemic encephalopathy.

Andreea M Pavel,John M O'Toole,Jacopo Proietti,Vicki Livingstone,Subhabrata Mitra,William P Marnane,Mikael Finder,Eugene M Dempsey,Deirdre M Murray,Geraldine B Boylan

Epilepsia（2023）

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摘要

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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machine learning,neonatal encephalopathy,neonatal seizures,neonates,prediction algorithm

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