Estimating the average length of hospitalization due to pneumonia: a fuzzy approach
Braz. j. med. biol. res
;
47(11): 977-981, 11/2014. tab, graf
Artigo
em Inglês
| LILACS
| ID: lil-723906
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.
Texto completo:
DisponíveL
Índice:
LILACS (Américas)
Assunto principal:
Pneumonia
/
Lógica Fuzzy
/
Poluentes Atmosféricos
/
Tempo de Internação
Tipo de estudo:
Estudo prognóstico
Limite:
Humanos
/
Lactente
País/Região como assunto:
América do Sul
/
Brasil
Idioma:
Inglês
Revista:
Braz. j. med. biol. res
Assunto da revista:
Biologia
/
Medicina
Ano de publicação:
2014
Tipo de documento:
Artigo
/
Documento de projeto
País de afiliação:
Brasil
Instituição/País de afiliação:
Universidade de Taubaté/BR
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