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Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory: Development and Validation Study.

Gabrielle ChenaisCédric Gil-JardineHélène TouchaisMarta AvalosBenjamin ContrandÉric TellierXavier CombesLoick BourdoisPhilippe RevelEmmanuel Lagarde
Published in: JMIR AI (2023)
The transformers proved efficient at the multiclass classification of narrative and medical data. Further steps for improvement should focus on the expansion of abbreviations and multioutput multiclass classification.
Keyphrases
  • deep learning
  • machine learning
  • artificial intelligence
  • convolutional neural network
  • healthcare
  • big data
  • electronic health record
  • trauma patients