Literature DB >> 18693825

An ontology of bacteria to help physicians to compare antibacterial spectra.

Catherine Duclos1, Jérome Nobécourt, Gian Luigi Cartolano, Anis Ellini, Alain Venot.   

Abstract

General practitioners (GPs) may lack specialist microbiological knowledge, making it difficult for them to use documents concerning antibacterial spectra provided by French health authorities. We have developed a tool to help GPs to compare antibacterial spectra, based on an ontology of bacteria generated using OWL-DL language. This tool makes it possible to search for information concerning the antibiotic susceptibility of given bacteria, regardless of the way in which this information is expressed in the document. Applied to the whole document, the tool made 4528 spectra explicit, whereas only 3471 could be understood without microbiological reasoning. A preliminary study showed that the performance of this tool was similar to that of an expert microbiologist (94 to 98% correct responses) and better than that of unassisted GPs (84-90% correct responses).

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Year:  2007        PMID: 18693825      PMCID: PMC2655804     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  7 in total

1.  Empiric antibiotic use and resistant microbes. A "catch-22" for the 21st century.

Authors:  C A Manthous; Y Amoateng-Adjepong
Journal:  Chest       Date:  2000-07       Impact factor: 9.410

2.  Structured representation of the pharmacodynamics section of the summary of product characteristics for antibiotics: application for automated extraction and visualization of their antimicrobial activity spectra.

Authors:  Catherine Duclos; Gian Luigi Cartolano; Michael Ghez; Alain Venot
Journal:  J Am Med Inform Assoc       Date:  2004-04-02       Impact factor: 4.497

3.  Empiric antibiotic selection by physicians: evaluation of reasoning strategies.

Authors:  V L Yu; G P Stoehr; R C Starling; J E Shogan
Journal:  Am J Med Sci       Date:  1991-03       Impact factor: 2.378

4.  Building an ontology of adverse drug reactions for automated signal generation in pharmacovigilance.

Authors:  Corneliu Henegar; Cédric Bousquet; Agnès Lillo-Le Louët; Patrice Degoulet; Marie-Christine Jaulent
Journal:  Comput Biol Med       Date:  2005-09-26       Impact factor: 4.589

5.  Protein classification using ontology classification.

Authors:  K Wolstencroft; P Lord; L Tabernero; A Brass; R Stevens
Journal:  Bioinformatics       Date:  2006-07-15       Impact factor: 6.937

6.  Survey of antibiotic prescribing in a district general hospital. I. Pattern of use.

Authors:  F Moss; M W McNicol; D A McSwiggan; D L Miller
Journal:  Lancet       Date:  1981-08-15       Impact factor: 79.321

7.  A computer-assisted management program for antibiotics and other antiinfective agents.

Authors:  R S Evans; S L Pestotnik; D C Classen; T P Clemmer; L K Weaver; J F Orme; J F Lloyd; J P Burke
Journal:  N Engl J Med       Date:  1998-01-22       Impact factor: 91.245

  7 in total
  1 in total

1.  Comparison of two kinds of interface, based on guided navigation or usability principles, for improving the adoption of computerized decision support systems: application to the prescription of antibiotics.

Authors:  Rosy Tsopra; Jean-Philippe Jais; Alain Venot; Catherine Duclos
Journal:  J Am Med Inform Assoc       Date:  2013-09-05       Impact factor: 4.497

  1 in total

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