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Using natural language processing and VetCompass to understand antimicrobial usage patterns in Australia.

B HurLaura Y HardefeldtK VerspoorT BaldwinJ R Gilkerson
Published in: Australian veterinary journal (2019)
The NLP algorithms developed matched antimicrobial in clinical records with 96.7% accuracy and an F1 Score of 0.85, as evaluated relative to expert annotations. This dataset can be readily queried to demonstrate the antimicrobial usage patterns of companion animal practices throughout Australia.
Keyphrases
  • staphylococcus aureus
  • machine learning
  • primary care
  • healthcare
  • autism spectrum disorder
  • clinical practice