A PRODUCT FOR DENGUE, ZIKA AND CHIKUNGUNYA DIAGNOSIS ANALYSIS
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2023 |
| Outros Autores: | , , , |
| Tipo de documento: | Artigo |
| Idioma: | por |
| Título da fonte: | Brazilian Journal of Implantology and Health Sciences |
| Texto Completo: | https://bjihs.emnuvens.com.br/bjihs/article/view/367 |
Resumo: | The app for predicting Dengue, Zika, and Chikungunya diseases can be used by users (patients) or healthcare professionals to assist in early diagnosis and appropriate treatment of these diseases transmitted by the Aedes aegypti mosquito. Besides, the app can also be a valuable tool for the public, enabling users to monitor symptoms and associated risks of the diseases. By utilizing a neural network trained with the characteristic symptoms of each disease, the app has the potential to offer more accurate predictions and aid in the rapid identification of suspected cases. This could result in more effective interventions and targeted control strategies, contributing to the prevention and combat of epidemics of these diseases. |
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A PRODUCT FOR DENGUE, ZIKA AND CHIKUNGUNYA DIAGNOSIS ANALYSISUMA FERRAMENTA PARA ANÁLISE DO DIAGNÓSTICO DA DENGUE, ZIKA E CHIKUNGUNYA.Diagnóstico, Dengue, Zika e ChikungunyaDiagnostic, Dengue, Zika and Chikungunya.The app for predicting Dengue, Zika, and Chikungunya diseases can be used by users (patients) or healthcare professionals to assist in early diagnosis and appropriate treatment of these diseases transmitted by the Aedes aegypti mosquito. Besides, the app can also be a valuable tool for the public, enabling users to monitor symptoms and associated risks of the diseases. By utilizing a neural network trained with the characteristic symptoms of each disease, the app has the potential to offer more accurate predictions and aid in the rapid identification of suspected cases. This could result in more effective interventions and targeted control strategies, contributing to the prevention and combat of epidemics of these diseases.O aplicativo para fazer predições sobre as doenças Dengue, Zika e Chikungunya pode ser utilizado por usuários (pacientes) ou profissionais de saúde para auxiliar no diagnóstico precoce e no tratamento adequado dessas doenças transmitidas pelo mosquito aedes aegypti. Além disso, o aplicativo também pode ser uma ferramenta valiosa para a conscientização pública, permitindo que os usuários monitorem os sintomas e riscos associados às doenças. Com o uso de uma rede neural treinada com os sintomas característicos de cada doença, o aplicativo tem o potencial de oferecer predições mais precisas e ajudar na identificação rápida de casos suspeitos. Isso pode resultar em intervenções mais eficazes e estratégias de controle mais direcionadas, contribuindo para a prevenção e o combate às epidemias destas doenças.Specialized Dentistry Group2023-07-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://bjihs.emnuvens.com.br/bjihs/article/view/36710.36557/2674-8169.2023v5n3p1359-1399Brazilian Journal of Implantology and Health Sciences ; Vol. 5 No. 3 (2023): BJIHS QUALIS B3; 1359-1399Brazilian Journal of Implantology and Health Sciences ; Vol. 5 Núm. 3 (2023): BJIHS QUALIS B3; 1359-1399Brazilian Journal of Implantology and Health Sciences ; v. 5 n. 3 (2023): BJIHS QUALIS B3; 1359-13992674-8169reponame:Brazilian Journal of Implantology and Health Sciencesinstname:Grupo de Odontologia Especializada (GOE)instacron:GOEporhttps://bjihs.emnuvens.com.br/bjihs/article/view/367/445Copyright (c) 2023 Robson Luís Santos Freitas, Isabela Brandão Peixoto, Isabelle Matos Pinheiro, Wilson Otto Batista, Antonio Carlos dos Santos Souzahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessFreitas, Robson Luís SantosPeixoto, Isabela BrandãoPinheiro, Isabelle MatosBatista, Wilson OttoSouza, Antonio Carlos dos Santos2023-07-26T21:25:33Zoai:ojs.bjihs.emnuvens.com.br:article/367Revistahttps://bjihs.emnuvens.com.br/bjihsONGhttps://bjihs.emnuvens.com.br/bjihs/oaijournal.bjihs@periodicosbrasil.com.br2674-81692674-8169opendoar:2023-07-26T21:25:33Brazilian Journal of Implantology and Health Sciences - Grupo de Odontologia Especializada (GOE)false |
| dc.title.none.fl_str_mv |
A PRODUCT FOR DENGUE, ZIKA AND CHIKUNGUNYA DIAGNOSIS ANALYSIS UMA FERRAMENTA PARA ANÁLISE DO DIAGNÓSTICO DA DENGUE, ZIKA E CHIKUNGUNYA. |
| title |
A PRODUCT FOR DENGUE, ZIKA AND CHIKUNGUNYA DIAGNOSIS ANALYSIS |
| spellingShingle |
A PRODUCT FOR DENGUE, ZIKA AND CHIKUNGUNYA DIAGNOSIS ANALYSIS Freitas, Robson Luís Santos Diagnóstico, Dengue, Zika e Chikungunya Diagnostic, Dengue, Zika and Chikungunya. |
| title_short |
A PRODUCT FOR DENGUE, ZIKA AND CHIKUNGUNYA DIAGNOSIS ANALYSIS |
| title_full |
A PRODUCT FOR DENGUE, ZIKA AND CHIKUNGUNYA DIAGNOSIS ANALYSIS |
| title_fullStr |
A PRODUCT FOR DENGUE, ZIKA AND CHIKUNGUNYA DIAGNOSIS ANALYSIS |
| title_full_unstemmed |
A PRODUCT FOR DENGUE, ZIKA AND CHIKUNGUNYA DIAGNOSIS ANALYSIS |
| title_sort |
A PRODUCT FOR DENGUE, ZIKA AND CHIKUNGUNYA DIAGNOSIS ANALYSIS |
| author |
Freitas, Robson Luís Santos |
| author_facet |
Freitas, Robson Luís Santos Peixoto, Isabela Brandão Pinheiro, Isabelle Matos Batista, Wilson Otto Souza, Antonio Carlos dos Santos |
| author_role |
author |
| author2 |
Peixoto, Isabela Brandão Pinheiro, Isabelle Matos Batista, Wilson Otto Souza, Antonio Carlos dos Santos |
| author2_role |
author author author author |
| dc.contributor.author.fl_str_mv |
Freitas, Robson Luís Santos Peixoto, Isabela Brandão Pinheiro, Isabelle Matos Batista, Wilson Otto Souza, Antonio Carlos dos Santos |
| dc.subject.por.fl_str_mv |
Diagnóstico, Dengue, Zika e Chikungunya Diagnostic, Dengue, Zika and Chikungunya. |
| topic |
Diagnóstico, Dengue, Zika e Chikungunya Diagnostic, Dengue, Zika and Chikungunya. |
| description |
The app for predicting Dengue, Zika, and Chikungunya diseases can be used by users (patients) or healthcare professionals to assist in early diagnosis and appropriate treatment of these diseases transmitted by the Aedes aegypti mosquito. Besides, the app can also be a valuable tool for the public, enabling users to monitor symptoms and associated risks of the diseases. By utilizing a neural network trained with the characteristic symptoms of each disease, the app has the potential to offer more accurate predictions and aid in the rapid identification of suspected cases. This could result in more effective interventions and targeted control strategies, contributing to the prevention and combat of epidemics of these diseases. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2023-07-26 |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
https://bjihs.emnuvens.com.br/bjihs/article/view/367 10.36557/2674-8169.2023v5n3p1359-1399 |
| url |
https://bjihs.emnuvens.com.br/bjihs/article/view/367 |
| identifier_str_mv |
10.36557/2674-8169.2023v5n3p1359-1399 |
| dc.language.iso.fl_str_mv |
por |
| language |
por |
| dc.relation.none.fl_str_mv |
https://bjihs.emnuvens.com.br/bjihs/article/view/367/445 |
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https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0 |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Specialized Dentistry Group |
| publisher.none.fl_str_mv |
Specialized Dentistry Group |
| dc.source.none.fl_str_mv |
Brazilian Journal of Implantology and Health Sciences ; Vol. 5 No. 3 (2023): BJIHS QUALIS B3; 1359-1399 Brazilian Journal of Implantology and Health Sciences ; Vol. 5 Núm. 3 (2023): BJIHS QUALIS B3; 1359-1399 Brazilian Journal of Implantology and Health Sciences ; v. 5 n. 3 (2023): BJIHS QUALIS B3; 1359-1399 2674-8169 reponame:Brazilian Journal of Implantology and Health Sciences instname:Grupo de Odontologia Especializada (GOE) instacron:GOE |
| instname_str |
Grupo de Odontologia Especializada (GOE) |
| instacron_str |
GOE |
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GOE |
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Brazilian Journal of Implantology and Health Sciences |
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Brazilian Journal of Implantology and Health Sciences |
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Brazilian Journal of Implantology and Health Sciences - Grupo de Odontologia Especializada (GOE) |
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journal.bjihs@periodicosbrasil.com.br |
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1796798438226001920 |