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Identification of patients with epilepsy using automated electronic health records phenotyping.

Marta FernandesAidan CardallJin JingWendong GeLidia M V R MouraClaire JacobsChristopher McGrawSahar F ZafarM Brandon Westover
Published in: Epilepsia (2023)
A machine learning-based AEP approach accurately identifies patients with epilepsy from notes, ICD codes, and ASMs. This model can enable large-scale epilepsy research using EHR databases.
Keyphrases
  • electronic health record
  • machine learning
  • high throughput
  • clinical decision support
  • big data
  • deep learning
  • adverse drug
  • artificial intelligence
  • genome wide
  • temporal lobe epilepsy
  • bioinformatics analysis