Interpretative reading of the antibiogram – a semi-naïve Bayesian approach
作者：
Highlights：
• Prediction of bacterial susceptibility to antibiotics not tested in the antibiogram.
• Predictions use the institutional antibiogram of in vitro susceptibilities.
• Predictions are based on data on cross-susceptibility and cross-resistance.
• Predictions are generated by different semi-naïve Bayesian approaches.
• Susceptibility predictions are improved compared to the institutional antibiogram.
摘要
•Prediction of bacterial susceptibility to antibiotics not tested in the antibiogram.•Predictions use the institutional antibiogram of in vitro susceptibilities.•Predictions are based on data on cross-susceptibility and cross-resistance.•Predictions are generated by different semi-naïve Bayesian approaches.•Susceptibility predictions are improved compared to the institutional antibiogram.
论文关键词：Bayes theorem,Bacterial infections,Antimicrobial therapy,Antibiogram,Cross-resistance,Antimicrobial Stewardship
论文评审过程：Received 10 December 2014, Revised 8 July 2015, Accepted 5 August 2015, Available online 14 August 2015, Version of Record 14 November 2015.
论文官网地址：https://doi.org/10.1016/j.artmed.2015.08.004
