Ph.D Candidate: Elitania Jiménez García
Advisor: José Bravo Rodríguez Ph.D
Co-Advisor: Jesus Fontecha Diezma Ph.D
This thesis aims to develop a method for asynchronous analysis of the glycemic trend. It will be used as a prevention tool for patients with diabetes mellitus. The glycemic trend is calculated using data mining techniques and/or artificial intellegence applied to data obtained by sensors,smartphones and smart devices. These data will be collected through continuous monitoring of patients with diabetes, considering aspects such as physical activity, blood sugar levels, diet, self-education of diabetes and endocrine profile. Also they are considered complementary aspects such as sleep, heart rate and/or emotional state.