VALERIA: Uma Plataforma para Auxiliar o Diagnóstico e o Monitoramento de Arboviroses

  • Thomás Tabosa de Oliveira UPE
  • Sebastião Rogério da Silva Neto UPE
  • Igor Vitor Teixeira UPE
  • Patricia Takako Endo UPE
  • Vanderson Souza Sampaio FMT-HVD / FVS-AM

Resumo


Arboviruses are Neglected Tropical Diseases (NTDs) that mainly affect developing countries and Brazil is one of them. Such diseases have a negative impact on quality of life of the patients. One of the main challenges in combating these diseases is the difficulty of an accurate diagnosis among the concomitant arborival diseases due the similarity of symptoms. This project proposes VALERIA, a low-cost platform based on machine learning (ML) models for assisting the diagnose of arboviruses in the national scenario. VALERIA is proposed to improve the quality of life of patients, allowing the most appropriate treatment after a diagnose and therefore presenting a great potential of generating local public policies of social impact. A prototype was already developed for diagnosis and is in validation phase by public health specialists.

Palavras-chave: valeria, virtual assistant, arbovirus, machine learning, diagnose

Referências

Sebastião Rogério da Silva Neto, Thomás Tabosa de Oliveira, Vanderson de Souza Sampaio, Theo Lynn, and Patricia Takako Endo. 2020. Platform for monitoring and clinical diagnosis of arboviruses using computational models. In 2020 International Conference on Cyber Security and Protection of Digital Services (CyberSecurity). IEEE, 1–3.

Thomás Tabosa de Oliveira, Sebastião Rogério da Silva Neto, Igor Vitor Teixeira, Samuel Benjamin, Vanderson de Souza Sampaio, and Patricia Takako Endo. 2021. A comparative study of machine learning techniques for multi-class classification of arboviral diseases. Under review (2021).

Nildimar Alves Honório, Daniel Cardoso Portela Câmara, Guilherme Amaral Calvet, and Patrícia Brasil. 2015. Chikungunya: uma arbovirose em estabelecimento e expansão no Brasil. Cadernos de saúde pública 31 (2015), 906–908.

Tamara Nunes Lima-Camara. 2016. Arboviroses emergentes e novos desafios para a saúde pública no Brasil. Revista de Saúde Pública 50 (2016), 36.

José Angelo L. Lindoso and Ana Angélica B.P. Lindoso. 2009. Doenças tropicais negligenciadas no Brasil. Revista do Instituto de Medicina Tropical de São Paulo 51, 5 (2009), 247–253.

Francisco Rogerlândio Martins-Melo, Alberto Novaes Ramos Jr, Carlos Henrique Alencar, and Jorg Heukelbach. 2016. Mortality from neglected tropical diseases in Brazil, 2000–2011. Bulletin of the World Health Organization 94, 2 (2016), 103.

OPAS. 2020. Casos de dengue nas Américas chegam a 1,6 milhão, o que destaca a necessidade do controle de mosquitos durante a pandemia. [link].
Publicado
05/11/2021
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DE OLIVEIRA, Thomás Tabosa; DA SILVA NETO, Sebastião Rogério; TEIXEIRA, Igor Vitor; ENDO, Patricia Takako; SAMPAIO, Vanderson Souza. VALERIA: Uma Plataforma para Auxiliar o Diagnóstico e o Monitoramento de Arboviroses. In: WORKSHOP DE FERRAMENTAS E APLICAÇÕES - SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 27. , 2021, Minas Gerais. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 103-106. ISSN 2596-1683. DOI: https://doi.org/10.5753/webmedia_estendido.2021.17623.