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Predicting urinary tract infections in the emergency department with machine learning.

Richard Andrew TaylorChristopher L MooreKei-Hoi CheungCynthia Brandt
Published in: PloS one (2018)
The best performing machine learning algorithm, XGBoost, accurately diagnosed positive urine culture results, and outperformed previously developed models in the literature and several proxies for provider judgment. Future prospective validation is warranted.
Keyphrases
  • machine learning
  • urinary tract infection
  • emergency department
  • artificial intelligence
  • big data
  • systematic review
  • deep learning
  • primary care
  • current status