Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

BACTID: a microcomputer implementation of a PASCAL program for bacterial identification based on Bayesean

B J Jilly1

  • 1Department of Medical Laboratory Sciences, University of Illinois, Chicago 60680.

Computer Methods and Programs in Biomedicine
|March 1, 1988
PubMed
Summary

This study introduces BACTID, a flexible computer program for bacterial identification using Bayesian probability. It offers a viable, efficient alternative to traditional methods, achieving 99.34% agreement with existing systems.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A simple, practical model for reducing alloimmunization in patients with sickle cell disease.

American journal of hematology·1993
Same author

Proline aminopeptidase activity as a rapid diagnostic test to confirm bacterial vaginosis.

Obstetrics and gynecology·1988
Same author

Microcomputer application of Bayesean probability testing for the identification of bacteria.

International journal of bio-medical computing·1988
Same author

Rapid glutamic acid decarboxylase test for identification of Bacteroides and Clostridium spp.

Journal of clinical microbiology·1984

Area of Science:

  • Computer Science
  • Microbiology
  • Bioinformatics

Background:

  • Accurate bacterial identification is crucial in clinical and research settings.
  • Traditional identification methods can be time-consuming and resource-intensive.
  • The need for accessible, efficient identification tools is growing.

Purpose of the Study:

  • To introduce and evaluate BACTID, a novel computer program for bacterial identification.
  • To demonstrate the program's flexibility, speed, and accuracy.
  • To present BACTID as a practical alternative to existing identification systems.

Main Methods:

  • Development of the BACTID computer program utilizing a priori data and Bayesian probability testing.
  • Testing the program's efficacy against a commercially available identification system.

Related Experiment Videos

  • Assessing execution time and system compatibility across various microcomputer platforms.

    • Main Results:

    • BACTID achieved 99.34% agreement with a commercial identification system.
    • The program demonstrated rapid execution, with a 46x21 data matrix processed in as little as 3.5 seconds.
    • BACTID exhibited high flexibility, being hardware-independent, RAM-independent, format-independent, and capable of handling missing data.

    Conclusions:

    • Microcomputer-based bacterial identification programs like BACTID are effective alternatives to code-book registers.
    • BACTID offers significant flexibility and efficiency advantages over commercial systems.
    • The program's adaptability makes it suitable for diverse laboratory environments and applications.