Classification of Diseases of The Urinary System using an Expert System
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng por |
Título da fonte: | GEPROS. Gestão da Produção. Operações e Sistemas |
Texto Completo: | https://revista.feb.unesp.br/gepros/article/view/2747 |
Resumo: | Purpose – Develop and use an Expert System (ES) to classify diseases of the urinary system.Design/methodology/approach – Computational experiments were divided into three phases, as described: Phase A: Database selection: We searched for a database that contains information on diseases of the urinary system. Phase B: Development and Implementation of the Expert System: Rules and variables were planned for the correct data manipulation, and the Expert System was created by implementing the rules and variables. Phase C: Validation of the Expert System: Expert System validated by specialists.Findings – The Expert System was validated by a general practitioner and, as such, was successful while carrying out the tests and results. In conclusion, the Expert System was generated to classify two diseases (Cystitis and Nephritis) of the urinary system. This was validated by a general practitioner who confirmed the accuracy of the information within the system developed and aimed of assisting the field of medicine for a specific organ.Originality/value – The development of the present work has made it possible to assist the specific diagnosis of two diseases of the urinary system. With the assistance of the Specialist System, professionals can be more confident when diagnosing diseases of the urinary system in patients.Keywords - Urinary System; Expert Systems; Artificial Intelligence; Support to The Diagnosis. |
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GEPROS. Gestão da Produção. Operações e Sistemas |
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Classification of Diseases of The Urinary System using an Expert SystemPurpose – Develop and use an Expert System (ES) to classify diseases of the urinary system.Design/methodology/approach – Computational experiments were divided into three phases, as described: Phase A: Database selection: We searched for a database that contains information on diseases of the urinary system. Phase B: Development and Implementation of the Expert System: Rules and variables were planned for the correct data manipulation, and the Expert System was created by implementing the rules and variables. Phase C: Validation of the Expert System: Expert System validated by specialists.Findings – The Expert System was validated by a general practitioner and, as such, was successful while carrying out the tests and results. In conclusion, the Expert System was generated to classify two diseases (Cystitis and Nephritis) of the urinary system. This was validated by a general practitioner who confirmed the accuracy of the information within the system developed and aimed of assisting the field of medicine for a specific organ.Originality/value – The development of the present work has made it possible to assist the specific diagnosis of two diseases of the urinary system. With the assistance of the Specialist System, professionals can be more confident when diagnosing diseases of the urinary system in patients.Keywords - Urinary System; Expert Systems; Artificial Intelligence; Support to The Diagnosis.A Fundacao para o Desenvolvimento de Bauru (FunDeB)2021-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://revista.feb.unesp.br/gepros/article/view/274710.15675/gepros.v16i2.2747Revista Gestão da Produção Operações e Sistemas; v. 16 n. 2 (2021); 741984-2430reponame:GEPROS. Gestão da Produção. Operações e Sistemasinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengporhttps://revista.feb.unesp.br/gepros/article/view/2747/pdfhttps://revista.feb.unesp.br/gepros/article/view/2747/1948Copyright (c) 2021 Revista Gestão da Produção Operações e Sistemasinfo:eu-repo/semantics/openAccessGatto, Dacyr Dante de OliveiraReis, João Victor Oliveira MendonçaPedro, Leandro Rosados Santos, Winicios AlvesFarias, Edquel Bueno Prado2023-11-22T15:26:45Zoai:ojs.gepros.emnuvens.com.br:article/2747Revistahttps://revista.feb.unesp.br/geprosPUBhttps://revista.feb.unesp.br/gepros/oaigepros@feb.unesp.br||abjabbour@feb.unesp.br1984-24301809-614Xopendoar:2023-11-22T15:26:45GEPROS. Gestão da Produção. Operações e Sistemas - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Classification of Diseases of The Urinary System using an Expert System |
title |
Classification of Diseases of The Urinary System using an Expert System |
spellingShingle |
Classification of Diseases of The Urinary System using an Expert System Gatto, Dacyr Dante de Oliveira |
title_short |
Classification of Diseases of The Urinary System using an Expert System |
title_full |
Classification of Diseases of The Urinary System using an Expert System |
title_fullStr |
Classification of Diseases of The Urinary System using an Expert System |
title_full_unstemmed |
Classification of Diseases of The Urinary System using an Expert System |
title_sort |
Classification of Diseases of The Urinary System using an Expert System |
author |
Gatto, Dacyr Dante de Oliveira |
author_facet |
Gatto, Dacyr Dante de Oliveira Reis, João Victor Oliveira Mendonça Pedro, Leandro Rosa dos Santos, Winicios Alves Farias, Edquel Bueno Prado |
author_role |
author |
author2 |
Reis, João Victor Oliveira Mendonça Pedro, Leandro Rosa dos Santos, Winicios Alves Farias, Edquel Bueno Prado |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Gatto, Dacyr Dante de Oliveira Reis, João Victor Oliveira Mendonça Pedro, Leandro Rosa dos Santos, Winicios Alves Farias, Edquel Bueno Prado |
description |
Purpose – Develop and use an Expert System (ES) to classify diseases of the urinary system.Design/methodology/approach – Computational experiments were divided into three phases, as described: Phase A: Database selection: We searched for a database that contains information on diseases of the urinary system. Phase B: Development and Implementation of the Expert System: Rules and variables were planned for the correct data manipulation, and the Expert System was created by implementing the rules and variables. Phase C: Validation of the Expert System: Expert System validated by specialists.Findings – The Expert System was validated by a general practitioner and, as such, was successful while carrying out the tests and results. In conclusion, the Expert System was generated to classify two diseases (Cystitis and Nephritis) of the urinary system. This was validated by a general practitioner who confirmed the accuracy of the information within the system developed and aimed of assisting the field of medicine for a specific organ.Originality/value – The development of the present work has made it possible to assist the specific diagnosis of two diseases of the urinary system. With the assistance of the Specialist System, professionals can be more confident when diagnosing diseases of the urinary system in patients.Keywords - Urinary System; Expert Systems; Artificial Intelligence; Support to The Diagnosis. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revista.feb.unesp.br/gepros/article/view/2747 10.15675/gepros.v16i2.2747 |
url |
https://revista.feb.unesp.br/gepros/article/view/2747 |
identifier_str_mv |
10.15675/gepros.v16i2.2747 |
dc.language.iso.fl_str_mv |
eng por |
language |
eng por |
dc.relation.none.fl_str_mv |
https://revista.feb.unesp.br/gepros/article/view/2747/pdf https://revista.feb.unesp.br/gepros/article/view/2747/1948 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Revista Gestão da Produção Operações e Sistemas info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Revista Gestão da Produção Operações e Sistemas |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
A Fundacao para o Desenvolvimento de Bauru (FunDeB) |
publisher.none.fl_str_mv |
A Fundacao para o Desenvolvimento de Bauru (FunDeB) |
dc.source.none.fl_str_mv |
Revista Gestão da Produção Operações e Sistemas; v. 16 n. 2 (2021); 74 1984-2430 reponame:GEPROS. Gestão da Produção. Operações e Sistemas instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
GEPROS. Gestão da Produção. Operações e Sistemas |
collection |
GEPROS. Gestão da Produção. Operações e Sistemas |
repository.name.fl_str_mv |
GEPROS. Gestão da Produção. Operações e Sistemas - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
gepros@feb.unesp.br||abjabbour@feb.unesp.br |
_version_ |
1800215698079744000 |