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Influence of analysis conditions for antimicrobial susceptibility test data on susceptibility rates.

Yasutoshi HatsudaToshihiko IshizakaNaonori KoizumiYukako YasuiTakako SaitoSyou MakiSachiko OmotaniJunji MukaiTomoya TachiHitomi TeramachiMichiaki Myotoku
Published in: PloS one (2020)
When referring to antibiograms, medical professionals involved in infectious disease treatment should be aware that the parameter values, such as the duplicate isolate removal period and the data collection period, affect P. aeruginosa susceptibility rates especially to β-lactam antibiotics. And antibiogram should be updated within the shortest time period that is practically possible, taking into account restrictions such as numbers of specimen.
Keyphrases
  • infectious diseases
  • electronic health record
  • big data
  • healthcare
  • data analysis
  • machine learning
  • artificial intelligence
  • deep learning