Please use this identifier to cite or link to this item:
http://repositorio.unitau.br/jspui/handle/20.500.11874/1408
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nascimento, Nascimento, Luiz Fernando Costa | pt_BR |
dc.contributor.author | Rizol, Paloma Maria Silva Rocha | pt_BR |
dc.contributor.author | Medeiros, Andréa Paula Peneluppi de | pt_BR |
dc.date.accessioned | 2019-09-11T20:51:36Z | - |
dc.date.available | 2019-09-11T20:51:36Z | - |
dc.date.issued | 2014 | - |
dc.citation.volume | 47 | pt_BR |
dc.citation.issue | 11 | pt_BR |
dc.citation.spage | 977 | - |
dc.citation.epage | 981 | - |
dc.identifier.doi | 10.1590/1414-431X20143640 | pt_BR |
dc.identifier.issn | 1414-431X | - |
dc.identifier.uri | http://repositorio.unitau.br/jspui/handle/20.500.11874/1408 | - |
dc.description.abstract | Exposure to air pollutants is associated with hospitalizations due to pneumonia in children. We hypothesized the length of hospitalization due to pneumonia may be dependent on air pollutant concentrations. Therefore, we built a computational model using fuzzy logic tools to predict the mean time of hospitalization due to pneumonia in children living in São José dos Campos, SP, Brazil. The model was built with four inputs related to pollutant concentrations and effective temperature, and the output was related to the mean length of hospitalization. Each input had two membership functions and the output had four membership functions, generating 16 rules. The model was validated against real data, and a receiver operating characteristic (ROC) curve was constructed to evaluate model performance. The values predicted by the model were significantly correlated with real data. Sulfur dioxide and particulate matter significantly predicted the mean length of hospitalization in lags 0, 1, and 2. This model can contribute to the care provided to children with pneumonia. | en |
dc.description.provenance | Made available in DSpace on 2019-09-11T20:51:36Z (GMT). No. of bitstreams: 0 Previous issue date: 2014 | en |
dc.language | Inglês | pt_BR |
dc.publisher | Associação Brasileira de Divulgação Científica | - |
dc.publisher.country | Brasil | pt_BR |
dc.relation.ispartof | Brazilian Journal of Medical and Biological Research | - |
dc.rights | Acesso Aberto | pt_BR |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0 | * |
dc.source | Scielo | pt_BR |
dc.subject.other | Air pollutants | en |
dc.subject.other | Fuzzy logic | en |
dc.subject.other | Pneumonia | en |
dc.subject.other | Particulate matter | en |
dc.subject.other | Sulfur dioxide | en |
dc.title | Estimating the average length of hospitalization due to pneumonia: a fuzzy approach | en |
dc.type | Artigo de Periódico | pt_BR |
dc.contributor.orcid | Rocha Rizol, Paloma https://orcid.org/0000-0001-5246-4438 | pt_BR |
dc.contributor.researcherid | Rocha Rizol, Paloma/I-2858-2012 | pt_BR |
dc.description.affiliation | [Rizol, P.M.S.R.] Universidade Estadual Paulista, Brazil | - |
dc.description.affiliation | Nascimento, L.F.C.; Peneluppi, A.P.] Universidade de Taubaté, Brazil | - |
dc.subject.researcharea | Life Sciences & Biomedicine - Other Topics | en |
dc.subject.researcharea | Research & Experimental Medicine | en |
dc.subject.scieloarea | Biology | en |
dc.subject.scieloarea | Medicine, Research & Experimental | en |
dc.identifier.scielo | SCIELO:S0100-879X2014001100977 | - |
Appears in Collections: | Artigos de Periódicos |
Files in This Item:
File | Size | Format | |
---|---|---|---|
SCIELO S0100-879X2014001100977.pdf | 631.93 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License