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Adverse Events in Twitter-Development of a Benchmark Reference Dataset: Results from IMI WEB-RADR.

Juergen DietrichLucie M GattepailleBritta Anne GrumLetitia JiriMagnus LerchDaniele SartoriAntoni Wisniewski
Published in: Drug safety (2021)
A manually curated benchmark reference dataset based on Twitter data has been created and is made available to the research community to evaluate the performance of automated methods and systems for adverse event recognition in unstructured free-text information.
Keyphrases
  • social media
  • health information
  • healthcare
  • machine learning
  • mental health
  • electronic health record
  • deep learning
  • high throughput
  • smoking cessation
  • big data
  • emergency department