Um Modelo Ubíquo de Detecção de Riscos de Alergia Baseado em Ciência de Situação
Abstract
Advances in ubiquitous computing are enabling the emergence of opportunities in many areas, among them is the health area. In this area occur many applications that enable ubiquitous care, called U-Healthcare applications. A detailed survey about existing and proposed models has shown that none of these applications meets people who suffer from food allergy. Thus, this paper proposes to present a ubiquitous model of allergy detection based on situation awareness, called Allergy Detector. This model focuses in food allergy, in particular the eight major allergens (peanut, milk, egg, wheat, soy, fish, crustacean and tree nuts) and their derivate, who causes about 90% of all food allergies. In order to assess the model, a study of case was designed and applied in a prototype that demonstrated the proposal viability.
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