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.
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Hernando, M.E., Gómez, E.J., del Pozo, F. (2001). Educational Tool for Diabetic Patients Based on Causal Probabilistic Networks. In: Quaglini, S., Barahona, P., Andreassen, S. (eds) Artificial Intelligence in Medicine. AIME 2001. Lecture Notes in Computer Science(), vol 2101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48229-6_29
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DOI: https://doi.org/10.1007/3-540-48229-6_29
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