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Text Mining of Adverse Events in Clinical Trials: Deep Learning Approach.

Daphne ChopardMatthias S TrederPadraig CorcoranNagheen AhmedClaire JohnsonMonica BusseIrena Spasić
Published in: JMIR medical informatics (2021)
These results confirmed that automated coding of adverse events described in the narrative section of serious adverse event reports is feasible. Once coded, adverse events can be statistically analyzed so that any correlations with the trialed medicines can be estimated in a timely fashion.
Keyphrases
  • deep learning
  • clinical trial
  • machine learning
  • artificial intelligence
  • high throughput
  • convolutional neural network
  • emergency department
  • smoking cessation
  • single cell
  • open label