Skip to main content

Some NLM-NCBI services and products are experiencing heavy traffic, which may affect performance and availability. We apologize for the inconvenience and appreciate your patience. For assistance, please contact our Help Desk at info@ncbi.nlm.nih.gov.

Applied Microbiology logoLink to Applied Microbiology
. 1973 Sep;26(3):314–317. doi: 10.1128/am.26.3.314-317.1973

Computer Identification of Bacteria on the Basis of Their Antibiotic Susceptibility Patterns

Richard Friedman 1, James MacLowry 1
PMCID: PMC379781  PMID: 4751789

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.

Full text

PDF
314

Selected References

These references are in PubMed. This may not be the complete list of references from this article.

  1. Domingue G. J., Dean F., Miller J. R. A diagnostic schema for identifying enterobacteriaceae and miscellaneous gram-negative bacilli. Am J Clin Pathol. 1969 Jan;51(1):62–70. doi: 10.1093/ajcp/51.1.62. [DOI] [PubMed] [Google Scholar]
  2. Dybowski W., Franklin D. A. Conditional probability and the identification of bacteria: a pilot study. J Gen Microbiol. 1968 Dec;54(2):215–229. doi: 10.1099/00221287-54-2-215. [DOI] [PubMed] [Google Scholar]
  3. MacLowry J. D., Jaqua M. J., Selepak S. T. Detailed methodology and implementation of a semiautomated serial dilution microtechnique for antimicrobial susceptibility testing. Appl Microbiol. 1970 Jul;20(1):46–53. doi: 10.1128/am.20.1.46-53.1970. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Petralli J., Russell E., Kataoka A., Merigan T. C. On-line computer quality control of antibiotic-sensitivity testing. N Engl J Med. 1970 Oct 1;283(14):735–738. doi: 10.1056/NEJM197010012831405. [DOI] [PubMed] [Google Scholar]

Articles from Applied Microbiology are provided here courtesy of American Society for Microbiology (ASM)

RESOURCES