Fuzzy logic and hospital admission due to respiratory diseases using estimated values by mathematical model

dc.contributor.authorVieira, Luciana Cristina Pompeo Ferreira da Silva [UNESP]
dc.contributor.authorRizol, Paloma Maria da Silva Rocha [UNESP]
dc.contributor.authorNascimento, Luiz Fernando Costa [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2019-10-06T16:21:48Z
dc.date.available2019-10-06T16:21:48Z
dc.date.issued2019-03-01
dc.description.abstractHospitalizations due to respiratory diseases generate financial costs for the Health System in addition to social costs. Objective of this study was to develop and validate a fuzzy linguistic model for prediction of hospitalization due to respiratory diseases. We constructed a fuzzy model for prediction of hospitalizations due to pneumonia, bronchitis, bronchiolitis and asthma second exposure to fine particulate matter (PM 2.5 ) in residents of Volta Redonda, RJ, in 2012. The model contains two inputs, PM 2.5 and temperature, with three membership functions for each input, and an output with three membership functions for admissions, which were obtained from DATASUS. There were 752 hospitalizations in the period, the average concentration of PM 2.5 was 17.1 µg/m3 (SD = 4.4). The model showed a good accuracy with PM 2.5 , the result was between 90% and 76.5% for lags 1, 2 and 3, a sensitivity of up to 95%. This study provides support for creating executable software with a low investment, along with the use of a portable instrument could allow number of hospital admission due to respiratory diseases and provide support to local health managers. Furthermore, the fuzzy model is very simple and involves low computational costs, an implementation making possible.en
dc.description.affiliationDepartamento de Energia Faculdade de Engenharia de Guaratinguetá (FEG) UNESP, Av. Ariberto Pereira da Cunha 333, Pedregulho
dc.description.affiliationDepartamento de Engenharia Elétrica FEG UNESP
dc.description.affiliationUnespDepartamento de Energia Faculdade de Engenharia de Guaratinguetá (FEG) UNESP, Av. Ariberto Pereira da Cunha 333, Pedregulho
dc.description.affiliationUnespDepartamento de Engenharia Elétrica FEG UNESP
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.format.extent1083-1090
dc.identifierhttp://dx.doi.org/10.1590/1413-81232018243.08172017
dc.identifier.citationCiencia e Saude Coletiva, v. 24, n. 3, p. 1083-1090, 2019.
dc.identifier.doi10.1590/1413-81232018243.08172017
dc.identifier.fileS1413-81232019000301083.pdf
dc.identifier.issn1678-4561
dc.identifier.issn1413-8123
dc.identifier.scieloS1413-81232019000301083
dc.identifier.scopus2-s2.0-85063301719
dc.identifier.urihttp://hdl.handle.net/11449/188869
dc.language.isoeng
dc.relation.ispartofCiencia e Saude Coletiva
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectAir pollution
dc.subjectFuzzy logic
dc.subjectMathematical modeling
dc.subjectParticulate matter
dc.subjectRespiratory diseases
dc.titleFuzzy logic and hospital admission due to respiratory diseases using estimated values by mathematical modelen
dc.titleLógica fuzzy e internações por doenças respiratórias usando dados estimados por modelo matemáticopt
dc.typeArtigo

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