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Identification of asthma control factor in clinical notes using a hybrid deep learning model.

Bhavani Singh Agnikula KshatriyaElham SaghebChung-Il WiJungwon YoonHee Yun SeolYoung JuhnSunghwan Sohn
Published in: BMC medical informatics and decision making (2021)
The proposed BERT models with distant supervision demonstrated its capability to identify inhaler techniques in EHR free text, and outperformed both the rule-based model and BERT models trained on the original data. With a distant supervision approach, we may alleviate costly manual chart review to generate the large training data required in most deep learning-based models. A hybrid model was able to fix BERT model errors and further improve the performance.
Keyphrases
  • deep learning
  • electronic health record
  • lymph node
  • emergency department
  • artificial intelligence
  • lung function
  • high intensity
  • virtual reality