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

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. © 2024 Elsevier B.V., All rights reserved.