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Application of the ILAE Neonatal Seizure Framework to an international panel of medical personnel.

Elissa G YozawitzMaria R CilioEli M MizrahiJee-Young MoonSolomon L MoshéMagda Lahorgue NunesPerrine PlouinSampsa VanhataloSameer ZuberiRonit M Pressler
Published in: Epileptic disorders : international epilepsy journal with videotape (2023)
The ILAE Neonatal Seizure Framework was judged by most raters to be better than other systems for the classification of clinical seizures. Among all seizure types presented, clonic seizures appeared to be the easiest to accurately identify. Average accuracy across the five seizure types was 84.5%. These data suggest that the ILAE neonatal seizure classification may be used by all healthcare professionals to accurately identify the predominant clinical seizure type.
Keyphrases
  • temporal lobe epilepsy
  • machine learning
  • deep learning
  • healthcare