基于抗生素敏感性模式的细菌计算机识别
Computer identification of bacteria on the basis of their antibiotic susceptibility patterns.
作者信息
Friedman R, MacLowry J
出版信息
Appl Microbiol. 1973 Sep;26(3):314-7. doi: 10.1128/am.26.3.314-317.1973.
Abstract
A computer program utilizing a Baysean mathematical model was developed to identify bacteria solely on the basis of their antibiotic sensitivities. The model contains probability data on the antibiotic sensitivity patterns for 31 species of bacteria, which account for over 99% of all isolates submitted to our laboratory for testing. During a 4-month test period, antibiotic sensitivity data on 1,000 clinical isolates were processed by the program. The identification achieved by using the model was the same as that of the laboratory for over 86% of the isolates.
摘要
开发了一种利用贝叶斯数学模型的计算机程序，仅根据细菌的抗生素敏感性来识别细菌。该模型包含31种细菌抗生素敏感性模式的概率数据，这些细菌占提交到我们实验室进行检测的所有分离株的99%以上。在为期4个月的测试期内，该程序处理了1000株临床分离株的抗生素敏感性数据。使用该模型实现的识别结果与实验室对超过86%的分离株的识别结果相同。
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