Formulação de um modelo de análise epidemiológica usando raciocínio baseado em casos e geoprocessamento

• Ano de defesa: 2012
• Autor(a) principal: Rocha, Allex Motta Melo da
• Orientador(a): Giorno, Fernando Antonio de Castro
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Pontifícia Universidade Católica de São Paulo
• Programa de Pós-Graduação: Programa de Estudos Pós-Graduados em Tecnologias da Inteligência e Design Digital
• Departamento: Faculdade de Ciências Exatas e Tecnologia
• País: BR
• Palavras-chave em Português: Inteligência artificial; Sistemas baseados em conhecimento; Raciocínio baseado em casos; Geoprocessamento; Leptospirose humana
• Palavras-chave em Inglês: Artificial intelligence; Knowledge-based systems; Case-based reasoning; Geographic information system; Human leptospirosis
• Área do conhecimento CNPq: CNPQ::ENGENHARIAS
• Link de acesso: https://tede2.pucsp.br/handle/handle/18099

This current dissertation aims to use the techniques of Case-Based Reasoning (CBR) and Geographic Information System (GIS) together to identify and characterize the impact of a contagious injury in the city of Belém, Pará state, Brazil, caused by the bacterium Leptospira interrogans, known as leptospirosis. Environmental and health issues, particularly as the presence of rodent droppings, urine and feces, influencing an establishment of this disease. This research conducts a study of the use of CBR technique in order to formulate and develop a model to identify and assist in the diagnosis of the disease, using data collected from patients, such as epidemiological history and clinical, in the area, in the years 2008, 2009 and 2010. The CBR system will enable health professionals can use it as a support tool in the diagnosis of cases of the disease. This dissertation also applies GIS techniques to visually express and produce environmental analysis, temporal and socioeconomic of leptospirosis epidemiology scenario in a neighborhood in the city of Belém, in the years mentioned above, due to yours epidemiological importance. So, there will be the environmental and socioeconomic characteristics, in order to analyze the spatial distribution of the main reservoirs of this disease and to identify the habits of life of people living or working in these places, considering the environmental factor to provide subsidies to adopt preventive measures to control of disease incidence