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Adapting and evaluating a deep learning language model for clinical why-question answering.

Andrew WenMohamed Y ElwazirSungrim MoonJungwei Wilfred Fan
Published in: JAMIA open (2020)
The BERT model achieved moderate accuracy in clinical why-QA and should benefit from the rapidly evolving technology. Despite the identified limitations, it could serve as a competent proxy for question-driven clinical information extraction.
Keyphrases
  • deep learning
  • machine learning
  • social media