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Abstract
 
 
Acadêmico(a): Oraci Izidoro Corrêa
Título: Business Intelligence Aplicando Data Mining utilizando a Teoria dos Conjuntos Aproximativos na Gestão da Saúde
 
Abstract:
Many institutions suffer from lack of quality of information generated causing a serious problem for growth within the institutions. Considering this, it is necessary that information be generated in an organized manner so that really bring significant value to aid in decision-making of people involved. Aiming to help a generation of knowledge of this information paper presents the of Business Intelligence using Data Mining combined with Rough Sets theory area of diagnosis of diseases, especially in aid to medical diagnosis according to symptoms reported by the user. Introducing a system for desktop information management within this process, the system lists the care of patients in accordance with the parameters and informed by calculating the TCA, showing the results through the hub of decision cube in the care of the patient.