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Additive Bayesian networks for antimicrobial resistance and potential risk factors in non-typhoidal Salmonella isolates from layer hens in Uganda.

Sonja HartnackTerence OdochGilles KratzerReinhard FurrerYngvild WastesonTrine M L'Abée-LundEystein Skjerve
Published in: BMC veterinary research (2019)
Although the results needs to be interpreted with caution due to a small data set, additive Bayesian network analysis allowed a description of a number of associations between the risk factors and antimicrobial resistances investigated.
Keyphrases
  • risk factors
  • antimicrobial resistance
  • network analysis
  • escherichia coli
  • staphylococcus aureus
  • electronic health record
  • big data
  • machine learning
  • mass spectrometry
  • atomic force microscopy
  • single molecule