Jackson B R, Schwartzman J D, Zuaro D E, Shultz E K
Department of Pathology, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, USA.
Proc AMIA Annu Fall Symp. 1997:258-62.
Manual review of antibiotic sensitivity testing results is an essential component of a microbiology laboratory's quality control process. Such review is tedious and prone to human error, however. An expert system is described that remembers which susceptibility patterns are considered typical or atypical by expert reviewers, then uses these to prescreen future isolates. It uses a similarity function to allow matching against this library when two patterns are close, but not identical. Use of this system allows more efficient and reliable review of the laboratory's antibiotic sensitivity testing results.
人工审查抗生素敏感性测试结果是微生物实验室质量控制过程的重要组成部分。然而，这种审查既繁琐又容易出现人为错误。本文描述了一种专家系统，它能记住专家评审人员认为哪些药敏模式是典型的或非典型的，然后利用这些信息对未来的分离株进行预筛选。当两种模式相近但不完全相同时，该系统使用相似性函数与这个库进行匹配。使用这个系统可以更高效、可靠地审查实验室的抗生素敏感性测试结果。
