256 resultados para Doenças Metabólicas
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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In this work was developed a fuzzy computational model type-2 predictive interval, using the software of the type-2 fuzzy MATLAB toolbox, the final idea is to estimate the number of hospitalizations of patients with respiratory diseases. The interest in the creation of this model is to assist in decision makeshift hospital environment, where there are no medical or professional equipment available to provide the care that the population need. It began working with the study of fuzzy logic, the fuzzy inference system and fuzzy toolbox. Through a real database provided by the Departamento de Informática do Sistema Único de Saúde (DATASUS) and Companhia de Tecnologia de Saneamento Básico (CETESB), was possible to start the model. The analyzed database is composed of the number of patients admitted with respiratory diseases a day for the public hospital in São José dos Campos, during the year 2009 and by factors such as PM10, SO2, wind and humidity. These factors were analyzed as input variables and, through these, is possible to get the number of admissions a day, which is the output variable of the model. For data analysis we used the fuzzy control method type-2 Mamdani. In the following steps the performance developed in this work was compared with the performance of the same model using fuzzy logic type-1. Finally, the validity of the models was estimated by the ROC curve
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Zootecnia - FCAV
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Os vírus do dengue possuem quatro sorotipos distintos (DENV 1-4) e a infecção por um sorotipo confere imunidade específica em longo prazo apenas para aquele sorotipo. O declínio e a reemergência de epidemias de dengue estão intimamente relacionadas com a migração populacional, o intercâmbio e a introdução de sorotipos, o aumento da população, a urbanização descontrolada, o aumento da infestação por mosquitos do gênero Aedes, que são vetores dos vírus e por mudanças na conjuntura política dos municípios. A doença configura-se como um grande problema de saúde pública e cerca de três bilhões de pessoas encontram-se em risco de contrair o vírus e, anualmente, milhões de casos de dengue são notificados, com aproximadamente 500 mil internações. O impacto econômico da doença não está direcionado apenas aos gastos diretamente relacionados ao tratamento, mas também, ao controle e à prevenção. Além disto, outros desdobramentos podem ocorrer, como gastos gerados por afastamento do trabalho no período de convalescença e por morte devido à infecção pelo vírus. As constantes trocas de equipes de prevenção e controle podem impactar negativamente a doença, favorecendo a dispersão do vetor e a manutenção do dengue no ambiente. Desta forma, o objetivo do trabalho é sistematizar as informações sobre o impacto do dengue na gestão dos recursos destinados a doenças infecto-contagiosas.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Pós-graduação em Desenvolvimento Humano e Tecnologias - IBRC
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Abstract A fuzzy linguistic model based on the Mamdani method with input variables, particulate matter, sulfur dioxide, temperature and wind obtained from CETESB with two membership functions each was built to predict the average hospitalization time due to cardiovascular diseases related to exposure to air pollutants in São José dos Campos in the State of São Paulo in 2009. The output variable is the average length of hospitalization obtained from DATASUS with six membership functions. The average time given by the model was compared to actual data using lags of 0 to 4 days. This model was built using the Matlab v. 7.5 fuzzy toolbox. Its accuracy was assessed with the ROC curve. Hospitalizations with a mean time of 7.9 days (SD = 4.9) were recorded in 1119 cases. The data provided revealed a significant correlation with the actual data according to the lags of 0 to 4 days. The pollutant that showed the greatest accuracy was sulfur dioxide. This model can be used as the basis of a specialized system to assist the city health authority in assessing the risk of hospitalizations due to air pollutants.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Obesity is defined as excess body fat. It is considered today a serious public health problem and has reached high proportions in childhood and adolescence. Among factors highlight the lifestyle, poor diet and little physical activity for their development. Childhood obesity is not treated can become permanent in adulthood increases the risk of several diseases such as cardiovascular, metabolic and other disorders such as depression, low self-esteem among others. It's extreme need multidisciplinary intervention to prevent it, with guidelines on healthy eating habits and regular physical activity. Treatment is necessary in a multidisciplinary team of doctors, nutritionists, physical educators, psychologists and family that has a decisive weight in the treatment of obese children. The media could give more space for the disclosure of childhood obesity, so that the population is aware of this epidemic in a more serious understand its risks and health effects. This bibliographic study has character and aims to seek the causes of obesity, its consequences in adulthood and possible forms of intervention
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Pós-graduação em Fisiopatologia em Clínica Médica - FMB
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)