Estudo de classificadores e construção de dataset para diagnóstico de dengue, chikungunya e zika

Abstract

Computing Systems simulates a human cognition by using wide bases of information. By being different than humans, machines don’t forget information and may share it’s knowledge with many people at the same time, even in different places. In this work, the developed system used information applied in the area of diagnosed medicine. The diseases selected to study are dengue, chikungunya and zika, since their incidence grow each passing year in tropical countries, and their consequences are dangerous. The developed system is going to help diagnosing these three diseases, which will help to begin their treatment faster. If professionals in many different places have access to this information and use the system to help them when they are in poorer areas or with harder medical assistance.