Educational Tool for Diabetic Patients Based on Causal Probabilistic Networks

  • M. Elena Hernando
  • Enrique J. Gómez
  • F. del Pozo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2101)


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.


Gestational Diabetes Diabetes Care Medical Informatics Educational Tool Qualitative Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • M. Elena Hernando
    • 1
  • Enrique J. Gómez
    • 1
  • F. del Pozo
    • 1
  1. 1.Grupo de Bioingeniería y TelemedicinaUniversidad Politécnica de MadridSpain

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