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http://repositorio.unitau.br/jspui/handle/20.500.11874/1408
metadata.dc.type: | Artigo de Periódico |
Title: | Estimating the average length of hospitalization due to pneumonia: a fuzzy approach |
Authors: | Nascimento, Nascimento, Luiz Fernando Costa Rizol, Paloma Maria Silva Rocha Medeiros, Andréa Paula Peneluppi de |
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. |
metadata.dc.language: | Inglês |
metadata.dc.publisher.country: | Brasil |
Publisher: | Associação Brasileira de Divulgação Científica |
metadata.dc.rights: | Acesso Aberto |
metadata.dc.rights.uri: | https://creativecommons.org/licenses/by-nc-nd/4.0 |
metadata.dc.identifier.doi: | 10.1590/1414-431X20143640 |
URI: | http://repositorio.unitau.br/jspui/handle/20.500.11874/1408 |
Issue Date: | 2014 |
Appears in Collections: | Artigos de Periódicos |
Files in This Item:
File | Size | Format | |
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SCIELO S0100-879X2014001100977.pdf | 631.93 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License