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Development and performance characteristics of novel code-based algorithms to identify invasive Escherichia coli disease.

Stephen P FortinLuis Hernandez PastorYorokpa Joachim DouaMichal SarneckiJoel N SwerdelJamie ColasurdoJeroen Geurtsen
Published in: Pharmacoepidemiology and drug safety (2022)
Algorithm 4, which achieved the most balanced performance characteristics, offers a useful tool to identify patients with IED and assess the burden of IED in healthcare databases.
Keyphrases
  • escherichia coli
  • healthcare
  • machine learning
  • deep learning
  • pseudomonas aeruginosa
  • biofilm formation
  • cystic fibrosis
  • neural network