Literature DB >> 4607961

Mathematical analysis of the API enteric 20 profile register using a computer diagnostic model.

E A Robertson, J D MacLowry.   

Abstract

Results for 21 biochemical tests using the API-20 Enteric kit were obtained from the manufacturer's files for 27,820 bacterial isolates. These isolates were identified by the API Profile Register and also by a computer diagnostic model which estimates the relative likelihoods of various identifications. The computer confirmed the identification in the API Profile Register for 99.36% of the isolates. The manufacturer has reviewed areas of the API Profile Register questioned by the computer analysis; a number of resulting modifications to the API Profile Register have been incorporated in an update letter. This computer model provides a convenient and powerful way to interpret a large number of test results for bacterial identification. This study also demonstrates the use of a large collection of isolates to refine the data matrix used by the diagnostic model.

Mesh:

Year:  1974        PMID: 4607961      PMCID: PMC186799          DOI: 10.1128/am.28.4.691-695.1974

Source DB:  PubMed          Journal:  Appl Microbiol        ISSN: 0003-6919


  4 in total

1.  Computer-assisted identification of bacteria.

Authors:  R B Friedman; D Bruce; J MacLowry; V Brenner
Journal:  Am J Clin Pathol       Date:  1973-09       Impact factor: 2.493

2.  Identification of bacteria by computer: general aspects and perspectives.

Authors:  S P Lapage; S Bascomb; W R Willcox; M A Curtis
Journal:  J Gen Microbiol       Date:  1973-08

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

Authors:  R Friedman; J MacLowry
Journal:  Appl Microbiol       Date:  1973-09

4.  The biochemical reactions of certain species and bioserotypes of Salmonella.

Authors:  W H Ewing; M M Ball; S F Bartes; A C McWhorter
Journal:  J Infect Dis       Date:  1970-03       Impact factor: 5.226

  4 in total
  17 in total

1.  Construction of an interpretive pattern directory for the API 10 S kit and analysis of its diagnostic accuracy.

Authors:  E A Robertson; J D MacLowry
Journal:  J Clin Microbiol       Date:  1975-06       Impact factor: 5.948

2.  Evaluation of the enteric analyzer for identification of Enterobacteriaceae.

Authors:  M Shayegani; M E Hubbard; T Hiscott; D M McGlynn; R C Yewdall
Journal:  J Clin Microbiol       Date:  1975-09       Impact factor: 5.948

3.  Bacterial inhibitors in lake water.

Authors:  T M Klein; M Alexander
Journal:  Appl Environ Microbiol       Date:  1986-07       Impact factor: 4.792

4.  Evaluation of the API 20E system for identification of nonfermentative Gram-negative bacteria.

Authors:  M Shayegani; P S Maupin; D M McGlynn
Journal:  J Clin Microbiol       Date:  1978-06       Impact factor: 5.948

5.  Biotype determinations for monitoring of EK1 host strains used in recombinant DNA research.

Authors:  D F Liberman; S A Kovacic
Journal:  J Clin Microbiol       Date:  1978-07       Impact factor: 5.948

6.  Identification of Enterobacteriaceae by the API 20E system.

Authors:  B Holmes; W R Willcox; S P Lapage
Journal:  J Clin Pathol       Date:  1978-01       Impact factor: 3.411

7.  Systematic bacteriological monitoring of intensive care unit patients: the results of a twelve month study.

Authors:  M J Shield; H J Hammill; D A Neale
Journal:  Intensive Care Med       Date:  1979-11       Impact factor: 17.440

8.  Identification of Yersinia pestis by BBL Crystal Enteric/Nonfermenter Identification System.

Authors:  B A Wilmoth; M C Chu; T J Quan
Journal:  J Clin Microbiol       Date:  1996-11       Impact factor: 5.948

9.  Role of resistance to starvation in bacterial survival in sewage and lake water.

Authors:  J L Sinclair; M Alexander
Journal:  Appl Environ Microbiol       Date:  1984-08       Impact factor: 4.792

10.  Enterobacteriaceae isolated from iguanid lizards of west-central Texas.

Authors:  J J Mathewson
Journal:  Appl Environ Microbiol       Date:  1979-09       Impact factor: 4.792

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