A stochastic model of susceptibility to antibiotic therapy—The effects of cross-resistance and treatment history
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摘要
ObjectiveSelection of antibiotic therapy is a complicated process, depending on, among others, the effect of cross-resistance between antibiotics. We propose a model, which incorporates information about treatment history in the form of information on the success or failure of the current treatment and which combines this with data on cross-resistance to predict the susceptibility to future antibiotic treatments, thus providing a systematic basis for revision of antibiotic treatment.
论文关键词：Causal probabilistic networks,Bacterial infections,Antibiotic therapy,Cross-resistance
论文评审过程：Received 13 March 2006, Revised 12 October 2006, Accepted 28 December 2006, Available online 20 February 2007.
论文官网地址：https://doi.org/10.1016/j.artmed.2006.12.007
