SALUS: A Model for Educational Assistance in Noncommunicable Chronic Diseases

Authors

  • Andrêsa Vargas Larentis University of Vale do Rio dos Sinos, Av. Unisinos 950, Bairro Cristo Rei, São Leopoldo, RS, 93022-750, Brazil https://orcid.org/0000-0003-4164-6687
  • Débora Nice Ferrari Barbosa Feevale University, ERS-239, 2755, Novo Hamburgo, RS, 93525-075, Brazil https://orcid.org/0000-0001-8107-8675
  • Jorge Luis Victória Barbosa University of Vale do Rio dos Sinos, Av. Unisinos 950, Bairro Cristo Rei, São Leopoldo, RS, 93022-750, Brazil https://orcid.org/0000-0002-0358-2056

Keywords:

Diseases, Learning, Ubiquitous Computing, Context

Abstract

Noncommunicable Chronic Diseases (NCDs) are the leading cause of death worldwide, meaning 41 million people die each year. Actions for the prevention and monitoring of NCDs should be promoted through the use of ubiquitous computing technologies to provide health education to individuals. Through ubiquitous computing it is possible to integrate technologies into their daily life. In turn, ubiquitous learning makes possible the integration of the individual with their context, helping in continuous and contextualized learning. In this sense, this paper presents SALUS, a computational model that uses context histories of individuals as a mechanism to assist in the prevention and monitoring of NCDs. The model explores elements of the context of individuals that are used in the composition of context histories. In addition, the analysis of context histories is used to deliver useful information for the individuals. The evaluation was conducted through prototype to assess the correctness of the content and place recommendations indicated by the model. A public database containing data from, 4239 individuals was used in the evaluation, with results showing an occurrence of 28.8% (content recommendation) and 25.4% (place recommendation) with ranges between high (score >60 and ≤80) and very high (score >80). The results obtained from the analysis of context histories indicated that SALUS can support educational assistance in NCDs

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Author Biographies

Andrêsa Vargas Larentis, University of Vale do Rio dos Sinos, Av. Unisinos 950, Bairro Cristo Rei, São Leopoldo, RS, 93022-750, Brazil

Possui graduação em Informática com ênfase em Análise de Sistemas e mestrado em Computação Aplicada pela Universidade do Vale do Rio dos Sinos (Unisinos-2005, 2008). Graduada em Ciências Contábeis pela Universidade do Sul de Santa Catarina (Unisul-2013). Pós-graduada em Formação de Professores para o Ensino Superior na Universidade Paulista (Unip-2017). Atualmente é estudante de doutorado na Unisinos. Possui mais de 12 anos de experiência em consultoria de projetos de desenvolvimento de software para diferentes indústrias. Atuou durante 9 anos como docente em instituição de ensino superior, nos cursos de Sistemas de Informação e Ciência da Computação.

Débora Nice Ferrari Barbosa, Feevale University, ERS-239, 2755, Novo Hamburgo, RS, 93525-075, Brazil

Doutora e Mestre em Ciência da Computação pela Universidade Federal do Rio Grande do Sul (UFRGS-2007, 2001). Bacharel em Análise de Sistemas pela Universidade Católica de Pelotas (UCPel-1998). Pós-doutora pela University of Califórnia Irvine, EUA. Bolsista de Produtividade em Desenvolvimento Tecnológico e Extensão Inovadora - DT - nível 1D do CNPq. É professora titular na Universidade Feevale, atuando como professora permanente do Programa de Pós-graduação em Diversidade Cultural e Inclusão Social (PPGDiver). Também atua nos cursos de bacharelado em Sistemas de Informação e Ciência da Computação. É líder do Grupo de Pesquisa Interdisciplinar em Tecnologia Digital, Neurociência e Educação (CNPq-Feevale). É membro dos grupos de Pesquisa em Informática na Educação (Feevale) e Desenvolvimento em Computação Móvel e Ubíqua (Unisinos).

Jorge Luis Victória Barbosa, University of Vale do Rio dos Sinos, Av. Unisinos 950, Bairro Cristo Rei, São Leopoldo, RS, 93022-750, Brazil

Possui graduação em Tecnologia em Processamento de Dados e Engenharia Elétrica pela Universidade Católica de Pelotas (UCPel-1990, 1992). Ele obteve especialização em Engenharia de Software (UCPel-1993), mestrado e doutorado em Ciência da Computação na Universidade Federal do Rio Grande do Sul (UFRGS-1996, 2001). Ele realizou pós-doutorados na Sungkyunkwan University (SKKU, Suwon, Coréia do Sul, 2011) e na University of California Irvine (UCI, Irvine, USA, 2020) através de uma bolsa do Programa CAPES/PRINT (professor visitante no Exterior Sênior). Jorge é professor titular II na Universidade do Vale do Rio dos Sinos (Unisinos). Ele atua nos Programas de Pós-graduação em Computação Aplicada (PPGCA) e em Engenharia Elétrica (PPGEL). Ele coordena o Laboratório de Computação Móvel (Mobilab) e é bolsista de Produtividade em Desenvolvimento Tecnológico e Extensão Inovadora (bolsa DT - Nível 1C) do Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).

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Published

2023-01-05

How to Cite

Larentis, A. V., Barbosa, D. N. F., & Barbosa, J. L. V. (2023). SALUS: A Model for Educational Assistance in Noncommunicable Chronic Diseases. IEEE Latin America Transactions, 21(3), 360–366. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/6822

Issue

Vol. 21 No. 3 (2023): Ordinary Issue

Section

Computing

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