96 resultados para Sistema de previsão de doenças
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Pós-graduação em Medicina Veterinária - FCAV
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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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Pós-graduação em Engenharia Mecânica - FEG
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Pós-graduação em Física - FEG
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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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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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Medicina Veterinária - FMVZ
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Pós-graduação em Medicina Veterinária - FMVZ
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Pós-graduação em Fisioterapia - FCT
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Water quality is very important for the health and the population welfare, and the public supply system must provide water quality and suffi cient quantity for the entire population. Water treatment stations, are the main way to obtain water quality. When this doesn’t occur, several problems can affect the population, in this case, using water with poor quality is a constant risk of emergence causing various diseases. The elimination of microorganisms in treated water reduces competition, encouraging the multiplication of chlorine resistant bacteria as Mycobacterium genus frequently isolated from treated and chlorinated water. Considering the lack of indication from examinations of mycobacteria routine laboratory for quality control of drinking water and other human uses, the objective was to verify the presence isolate and identify the environmental mycobacteria in the system water source surface of Araraquara - SP. We analyzed 40 water samples, distributed as follows: ten water gross collected at Station Water Treatment Plant (WTP), harvested after ten fi ltration; ten collected in the reservoir after chlorination and ten in the network distribution. Were recovered 43 isolates of mycobacteria. All isolates were subjected to PCR-PRA. The mycobacteria were identifi ed as M. lentifl avum, M. parafortuitum, M. genavense, M. gordonae, M. fortuitum, M. confl uent, M. duvalii, M. avium subspecies paratuberculosis and M. szulgai. With these results, was concluded that water is an important source of environmental mycobacteria probably related to several human diseases, suggesting the carrying out continuous monitoring of the microorganisms in the system drinking water.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Although leisure physical activity has been investigated in general population, there is absence of data in Brazilian Public Health System about this issue. Thus, the purpose of this study was to analyze in patients attended by Public Health System the prevalence of leisure physical activity, as well as, to identify its correlates and associated diseases. Sample was composed by 963 patients (707 female and 256 male) randomly selected at five basic healthcare units. Leisure physical activity was assessed by Baecke’s questionnaire and subjects with ≥180 and ≥240 minutes per week were classified as sufficiently active. General and central obesity were assessed by body mass index and waist circumference, respectively. Diseases of high occurrence were classified according CID-10. There was low rate of physically active subjects in leisure time (14.8%),but high rate of abdominal obesity (70.1%) and orthopedic diseases (72.1%). Physically active subjects in leisure time had lower occurrence of orthopedic diseases (OR= 0.60 [OR95%CI: 0.37 – 0.98]). The same pattern of association was observed for central obesity (OR= 0.35 [OR95%CI: 0.19 – 0.65]). It is low the rate of physically active in leisure time at Brazilian Public Health System, which is associated with orthopedic diseases.