Computer Identification of Bacteria on the Basis of Their Antibiotic Susceptibility Patterns
AUTOR(ES)
Friedman, Richard
RESUMO
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.
ACESSO AO ARTIGO
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=379781Documentos Relacionados
- Preventing Antibiotic Resistance through Rapid Genotypic Identification of Bacteria and of Their Antibiotic Resistance Genes in the Clinical Microbiology Laboratory
- Computer-assisted identification of anaerobic bacteria.
- Antibiotic Susceptibility of Anaerobic Ruminal Bacteria1
- Antibiotic susceptibility patterns in Rochalimaea quintana, the agent of trench fever.
- Antibiotic Susceptibility Patterns of Recent Isolates of Corynebacterium diphtheriae