title: [Interpretative reading and quality control of an antibiotic sensitivity test using an expert system. Application to the API ATB system and Enterobacteriaceae].
abstract: An expert system (cadi-yac), written in Turbo-Prolog and working on IBM PC and Bacanal + (a management software of microbiology laboratory) was used to recognize and correct the phenotype of antibiotic sensibility. The results were there of API ATB system. The knowledge was adapted from two references works. A routine use of the expert system give a correct recognition of enzymatic profile in more than 80% cases for the beta-lactams and more than 98% cases for the aminosides. The mistakes detected by cadi-yac, were often interpreted as deficiency of API system by humans experts. The expert system mistakes (1.5%) were due composites phenotypes.
authors: Université Claude-Bernard, CNRS Unité Associée 243, Centre Hospitalier Lyon-Sud.
authors: M
authors: M
authors: Peyret
authors: J P
authors: JP
authors: Flandrois
authors: G
authors: G
authors: Carret
authors: C
authors: C
authors: Pichat
mesh_terms: D000900:Anti-Bacterial Agents / Q000494:pharmacology*; D004755:Enterobacteriaceae / Q000187:drug effects*; D005103:Expert Systems; D006801:Humans; D008826:Microbial Sensitivity Tests / Q000295:instrumentation / Q000379:methods*; D011786:Quality Control
chemical_list: D000900:Anti-Bacterial Agents
vernacular_title: Lecture interprétative et contrôle de qualité de l'antibiogramme à l'aide d'un système expert. Application à l'automate API ATB et aux entérobactéries.