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Benchmarking clinical speech recognition and information extraction: new data, methods, and evaluations.

Hanna SuominenLiyuan ZhouLeif HanlenGabriela Ferraro
Published in: JMIR medical informatics (2015)
The significance of this study hinges on opening our data, together with the related performance benchmarks and some processing software, to the research and development community for studying clinical documentation and language-processing. The data are used in the CLEFeHealth 2015 evaluation laboratory for a shared task on speech recognition.
Keyphrases
  • electronic health record
  • big data
  • healthcare
  • data analysis
  • mental health
  • autism spectrum disorder
  • health information