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

Laberiano Andrade-Arenas, Inoc Mario Rubio Paucar, Cesar Yactayo-Arias

Producción científica: Artículo CientíficoArtículo originalrevisión exhaustiva

Resumen

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.

Idioma originalInglés estadounidense
Páginas (desde-hasta)72-90
-19
PublicaciónInternational Journal of Engineering Trends and Technology
Volumen72
N.º3
DOI
EstadoIndizado - mar. 2024

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© 2024 Seventh Sense Research Group.

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