Extracting seizure control metrics from clinic notes of patients with epilepsy: A natural language processing approach.

Journal: Epilepsy research
Published Date: Sep 10, 2024

Abstract

OBJECTIVES: Monitoring seizure control metrics is key to clinical care of patients with epilepsy. Manually abstracting these metrics from unstructured text in electronic health records (EHR) is laborious. We aimed to abstract the date of last seizure and seizure frequency from clinical notes of patients with epilepsy using natural language processing (NLP).

Authors

  • Marta Fernandes
    IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Portugal. Electronic address: marta.fernandes@tecnico.ulisboa.pt.
  • Aidan Cardall
    Department of Neurology, Massachusetts General Hospital (MGH), Boston, MA, United States; Harvard Medical School, Boston, MA, United States.
  • Lidia Mvr Moura
    Department of Neurology, Massachusetts General Hospital (MGH), Boston, MA, United States; Harvard Medical School, Boston, MA, United States.
  • Christopher McGraw
    Department of Neurology, Massachusetts General Hospital (MGH), Boston, MA, United States; Harvard Medical School, Boston, MA, United States.
  • Sahar F Zafar
    Department of Neurology, Massachusetts General Hospital, Boston, MA.
  • M Brandon Westover
    Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.

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