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Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0).

Abhyuday N JagannathaFeifan LiuWeisong LiuHong Yu
Published in: Drug safety (2019)
MADE results show that recent progress in NLP has led to remarkable improvements in NER and RI tasks for the clinical domain. However, some room for improvement remains, particularly in the NER-RI task.
Keyphrases
  • adverse drug
  • electronic health record
  • clinical decision support
  • working memory
  • autism spectrum disorder
  • emergency department
  • healthcare
  • virtual reality