Um Modelo para Assistência Educacional Ubíqua orientado a Doenças Crônicas Não Transmissíveis

Resumo

The ubiquitous learning can contribute to prevention of noncommunicable chronic diseases (NCDs) through a contextualized and personalized education oriented to control of risk factors. This article presents SALUS, a computational model for ubiquitous educational assistance oriented to NCDs. SALUS applies dynamic profiles, analysis of similarity and pattern analysis of contexts histories. An evaluation was conducted through a simulated environment using MIMIC III dataset for the creation of groups of individuals and content recommendation. Five groups were created in each of the three criteria used. At least 65% of the individuals have similarity between the analyzed variables.