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 ar...
Autores: | , , , |
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Formato: | artículo |
Fecha de Publicación: | 2023 |
Institución: | Universidad Tecnológica del Perú |
Repositorio: | UTP-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.utp.edu.pe:20.500.12867/7022 |
Enlace del recurso: | https://hdl.handle.net/20.500.12867/7022 https://doi.org/10.14445/22315381/IJETT-V71I3P222 |
Nivel de acceso: | acceso abierto |
Materia: | Infectious diseases Diagnostic process Artificial intelligence https://purl.org/pe-repo/ocde/ford#1.02.00 https://purl.org/pe-repo/ocde/ford#3.00.00 |
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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 Molina Velarde, Pedro Ángel Infectious diseases Diagnostic process Artificial intelligence https://purl.org/pe-repo/ocde/ford#1.02.00 https://purl.org/pe-repo/ocde/ford#3.00.00 |
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 |
Molina Velarde, Pedro Ángel |
author_facet |
Molina Velarde, Pedro Ángel Jáuregui-Velarde, Raúl Yactayo-Arias, Cesar Andrade Arenas, Laberiano Matías |
author_role |
author |
author2 |
Jáuregui-Velarde, Raúl Yactayo-Arias, Cesar Andrade Arenas, Laberiano Matías |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Molina Velarde, Pedro Ángel Jáuregui-Velarde, Raúl Yactayo-Arias, Cesar Andrade Arenas, Laberiano Matías |
dc.subject.es_PE.fl_str_mv |
Infectious diseases Diagnostic process Artificial intelligence |
topic |
Infectious diseases Diagnostic process Artificial intelligence https://purl.org/pe-repo/ocde/ford#1.02.00 https://purl.org/pe-repo/ocde/ford#3.00.00 |
dc.subject.ocde.es_PE.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#1.02.00 https://purl.org/pe-repo/ocde/ford#3.00.00 |
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 |
2023-05-26T19:09:42Z |
dc.date.available.none.fl_str_mv |
2023-05-26T19:09:42Z |
dc.date.issued.fl_str_mv |
2023 |
dc.type.es_PE.fl_str_mv |
info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
format |
article |
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dc.identifier.issn.none.fl_str_mv |
2231-5381 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12867/7022 |
dc.identifier.journal.es_PE.fl_str_mv |
International Journal of Engineering Trends and Technology |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.14445/22315381/IJETT-V71I3P222 |
identifier_str_mv |
2231-5381 International Journal of Engineering Trends and Technology |
url |
https://hdl.handle.net/20.500.12867/7022 https://doi.org/10.14445/22315381/IJETT-V71I3P222 |
dc.language.iso.es_PE.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofseries.none.fl_str_mv |
International Journal of Engineering Trends and Technology;vol. 71, n° 3 |
dc.rights.es_PE.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.es_PE.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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openAccess |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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application/pdf |
dc.publisher.es_PE.fl_str_mv |
Seventh Sense Research Group |
dc.publisher.country.es_PE.fl_str_mv |
IN |
dc.source.es_PE.fl_str_mv |
Repositorio Institucional - UTP Universidad Tecnológica del Perú |
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reponame:UTP-Institucional instname:Universidad Tecnológica del Perú instacron:UTP |
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spelling |
Molina Velarde, Pedro ÁngelJáuregui-Velarde, RaúlYactayo-Arias, CesarAndrade Arenas, Laberiano Matías2023-05-26T19:09:42Z2023-05-26T19:09:42Z20232231-5381https://hdl.handle.net/20.500.12867/7022International Journal of Engineering Trends and Technologyhttps://doi.org/10.14445/22315381/IJETT-V71I3P222Infectious 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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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).