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Annotation of epilepsy clinic letters for natural language processing.

Beata Fonferko-ShadrachHuw StraffordCarys JonesRussell A KhanSharon BrownJenny EdwardsJonathan HawkenLuke E ShrimptonCatharine P WhiteRobert PowellInder M S SawhneyWilliam O PickrellArron S Lacey
Published in: Journal of biomedical semantics (2024)
The synthetic letters, annotations, and annotation guidelines have been made freely available. To our knowledge, this is the first publicly available set of annotated epilepsy clinic letters and guidelines that can be used for NLP researchers with minimum epilepsy knowledge. The IAA results show that clinical text annotation tasks are difficult and require a gold standard to be arranged by researcher consensus. The results for ExECTv2, our automated epilepsy NLP pipeline, extracted detailed epilepsy information from unstructured epilepsy letters with more accuracy than human annotators, further confirming the utility of NLP for clinical and research applications.
Keyphrases
  • healthcare
  • primary care
  • clinical practice
  • endothelial cells
  • machine learning
  • temporal lobe epilepsy
  • autism spectrum disorder
  • social media