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Tuberculosis is an infectious disease widely present in developing countries, which is largely motivated by the difficulty of a rapid and efficient diagnosis. In order to reduce the number of patients suspected of having TB unnecessarily isolated in hospitals, thus optimize the use of health resources, we propose a systematic procedure for developing a decision support system based on specialized...
This article presents the experience in the development of a semantic platform for decision support based on the DOODA cycle that aims to help dengue epidemics control. We discuss the formal representation of data as type of dengue, hydration tents and relief efforts classified in epidemiology, infrastructure and civil defense domains on an ontology that associated with a reasoner and a map engine,...
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