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Expert Systems and Epidemiological Surveillance for Tuberculosis: Innovative Tools for Disease Prevention and Control

Research output: Contribution to journalOriginal Articlepeer-review

3 Scopus citations

Abstract

Expert systems have been automating several tasks in various social spheres as the years have passed. Health-related fields have made it possible to accept a lot of information that is used to inform decisions and train these systems about the most dangerous diseases on a global scale. As a result, the research aims to put in place an expert online system that would allow for epidemiological surveillance of Tuberculosis. Innovative tools like web-based systems and specialized programming languages like Swi-Prolog were used to diagnose Tuberculosis. For this reason, several sources of information in other authors' research were consulted in order to learn how Tuberculosis maintains a connection with expert systems. The Buchanan methodology was used, which consists of 4 phases; finally, for the validation and acceptance of the system by the customers, a questionnaire of 15 questions separated by 3 dimensions was carried out, applying an acceptance rate of 85% of the surveyed users. Finally, the conclusion reached is that the system developed will help many people to prevent and inform them about the danger of Tuberculosis and its consequences.

Original languageAmerican English
Pages (from-to)72-90
Number of pages19
JournalInternational Journal of Engineering Trends and Technology
Volume72
Issue number3
DOIs
StateIndexed - Mar 2024

Bibliographical note

Publisher Copyright:
© 2024 Seventh Sense Research Group.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Buchanan methodology
  • Epidemiological surveillance
  • Expert systems
  • Health-related
  • Tuberculosis

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