Expert System for the Timely Diagnosis of Infectious Diseases

Descripción del Articulo

“Infectious diseases such as COVID-19, dengue, diphtheria, etc., are spreading throughout the world, just like in Peru. Some of the symptoms of these diseases are similar. Rapid diagnosis is not available in this case, especially in regions with limited medical facilities. In addition, some people a...

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Detalles Bibliográficos
Autores: Jáuregui-Velarde, Raúl, Molina-Velarde, Pedro, Yactayo-Arias, Cesar, Andrade-Arenas, Laberiano
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Privada Norbert Wiener
Repositorio:UWIENER-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.uwiener.edu.pe:20.500.13053/9117
Enlace del recurso:https://hdl.handle.net/20.500.13053/9117
Nivel de acceso:acceso abierto
Materia:Buchanan, Dengue, Expert system, Health, Infectious disease.
1.02.00 -- Informática y Ciencias de la Información
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dc.title.es_PE.fl_str_mv Expert System for the Timely Diagnosis of Infectious Diseases
title Expert System for the Timely Diagnosis of Infectious Diseases
spellingShingle Expert System for the Timely Diagnosis of Infectious Diseases
Jáuregui-Velarde, Raúl
Buchanan, Dengue, Expert system, Health, Infectious disease.
1.02.00 -- Informática y Ciencias de la Información
title_short Expert System for the Timely Diagnosis of Infectious Diseases
title_full Expert System for the Timely Diagnosis of Infectious Diseases
title_fullStr Expert System for the Timely Diagnosis of Infectious Diseases
title_full_unstemmed Expert System for the Timely Diagnosis of Infectious Diseases
title_sort Expert System for the Timely Diagnosis of Infectious Diseases
author Jáuregui-Velarde, Raúl
author_facet Jáuregui-Velarde, Raúl
Molina-Velarde, Pedro
Yactayo-Arias, Cesar
Andrade-Arenas, Laberiano
author_role author
author2 Molina-Velarde, Pedro
Yactayo-Arias, Cesar
Andrade-Arenas, Laberiano
author2_role author
author
author
dc.contributor.author.fl_str_mv Jáuregui-Velarde, Raúl
Molina-Velarde, Pedro
Yactayo-Arias, Cesar
Andrade-Arenas, Laberiano
dc.subject.es_PE.fl_str_mv Buchanan, Dengue, Expert system, Health, Infectious disease.
topic Buchanan, Dengue, Expert system, Health, Infectious disease.
1.02.00 -- Informática y Ciencias de la Información
dc.subject.ocde.es_PE.fl_str_mv 1.02.00 -- Informática y Ciencias de la Información
description “Infectious diseases such as COVID-19, dengue, diphtheria, etc., are spreading throughout the world, just like in Peru. Some of the symptoms of these diseases are similar. Rapid diagnosis is not available in this case, especially in regions with limited medical facilities. In addition, some people are unaware of the symptoms caused by these diseases. The objective of the research is to design a rule-based web expert system prototype using the Buchanan and Rational Unified Process (RUP) methodology and evaluate to determine the feasibility of building the system for early detection and timely treatment of infectious diseases such as COVID-19, Zika, Dengue, Diphtheria, Influenza, Chikungunya, and Monkeypox. The result was a prototype of an expert system with friendly and easy-to-use interfaces. In addition, the quality level of the prototype was evaluated through expert judgment, who analyzed the system's efficiency, usability, security, and functionality. After calculating the scores of the evaluated criteria, the total average was 4.74 out of 3, which is the minimum average for the feasibility of the expert system to be considered acceptable, considering the level of quality. In conclusion, it was possible to design and evaluate the expert system prototype. In addition, the results also show that it is feasible to build the proposed system for the early detection and treatment of infectious diseases for the benefit of people's health.“
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-08-03T19:47:56Z
dc.date.available.none.fl_str_mv 2023-08-03T19:47:56Z
dc.date.issued.fl_str_mv 2023-03-25
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.13053/9117
dc.identifier.doi.none.fl_str_mv 10.14445/22315381/IJETT-V71I3P222
url https://hdl.handle.net/20.500.13053/9117
identifier_str_mv 10.14445/22315381/IJETT-V71I3P222
dc.language.iso.es_PE.fl_str_mv eng
language eng
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dc.publisher.es_PE.fl_str_mv Seventh Sense Research Group
dc.publisher.country.es_PE.fl_str_mv India
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spelling Jáuregui-Velarde, RaúlMolina-Velarde, PedroYactayo-Arias, CesarAndrade-Arenas, Laberiano2023-08-03T19:47:56Z2023-08-03T19:47:56Z2023-03-25https://hdl.handle.net/20.500.13053/911710.14445/22315381/IJETT-V71I3P222“Infectious diseases such as COVID-19, dengue, diphtheria, etc., are spreading throughout the world, just like in Peru. Some of the symptoms of these diseases are similar. Rapid diagnosis is not available in this case, especially in regions with limited medical facilities. In addition, some people are unaware of the symptoms caused by these diseases. The objective of the research is to design a rule-based web expert system prototype using the Buchanan and Rational Unified Process (RUP) methodology and evaluate to determine the feasibility of building the system for early detection and timely treatment of infectious diseases such as COVID-19, Zika, Dengue, Diphtheria, Influenza, Chikungunya, and Monkeypox. The result was a prototype of an expert system with friendly and easy-to-use interfaces. In addition, the quality level of the prototype was evaluated through expert judgment, who analyzed the system's efficiency, usability, security, and functionality. After calculating the scores of the evaluated criteria, the total average was 4.74 out of 3, which is the minimum average for the feasibility of the expert system to be considered acceptable, considering the level of quality. In conclusion, it was possible to design and evaluate the expert system prototype. 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