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

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorVieira, Luciana Cristina Pompeo Ferreira da Silva-
Autor(es): dc.creatorRizol, Paloma Maria da Silva Rocha-
Autor(es): dc.creatorNascimento, Luiz Fernando Costa-
Data de aceite: dc.date.accessioned2021-03-11T01:37:05Z-
Data de disponibilização: dc.date.available2021-03-11T01:37:05Z-
Data de envio: dc.date.issued2019-10-06-
Data de envio: dc.date.issued2019-10-06-
Data de envio: dc.date.issued2019-03-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1590/1413-81232018243.08172017-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/188869-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/188869-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionHospitalizations 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.-
Formato: dc.format1083-1090-
Idioma: dc.languageen-
Relação: dc.relationCiencia e Saude Coletiva-
Direitos: dc.rightsopenAccess-
Palavras-chave: dc.subjectAir pollution-
Palavras-chave: dc.subjectFuzzy logic-
Palavras-chave: dc.subjectMathematical modeling-
Palavras-chave: dc.subjectParticulate matter-
Palavras-chave: dc.subjectRespiratory diseases-
Título: dc.titleFuzzy logic and hospital admission due to respiratory diseases using estimated values by mathematical model-
Título: dc.titleLógica fuzzy e internações por doenças respiratórias usando dados estimados por modelo matemático-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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