Educational tool for diabetic patients based on causal probabilistic networks

Abstract

EduDIABNET is an educational tool based on a physiological model that allows simulation and interpretation of the effect of therapeutic actions on the 24-hour blood glucose profile. The system aims to help patients to better their understanding of diabetes self-management and to provide health care professionals with an additional tool to complement the patient education. The physiological model is qualitative and is represented by a quantitative Causal Probabilistic Network. The system enables users to set model variables choosing from a group of qualitative options and presents qualitative results. The user interface has been developed using real-world graphical metaphors to hide the complexity of the physiological model and to increase system usability.