Computer identification of bacteria on the basis of their antibiotic susceptibility patterns

R. Friedman, James Maclowry

Research output: Contribution to journalArticle

9 Citations (Scopus)

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 for testing. During a 4 mth 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.

Original languageEnglish (US)
Pages (from-to)314-317
Number of pages4
JournalJournal of Applied Microbiology
Volume26
Issue number3
StatePublished - 1973
Externally publishedYes

Fingerprint

antibiotics
Anti-Bacterial Agents
Bacteria
bacteria
Theoretical Models
mathematical models
Software
testing

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biotechnology
  • Applied Microbiology and Biotechnology
  • Microbiology

Cite this

Computer identification of bacteria on the basis of their antibiotic susceptibility patterns. / Friedman, R.; Maclowry, James.

In: Journal of Applied Microbiology, Vol. 26, No. 3, 1973, p. 314-317.

Research output: Contribution to journalArticle

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