Advertisement

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)

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.

Keywords

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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    WHO/IDF EUROPE. Diabetes Care and research in Europe. The Saint Vincent declaration. Diabetic Medicine, 7, (1990).360.CrossRefGoogle Scholar
  2. 2.
    Lehmann E.D. y Deutsch T. “Application of computers in diabetes care — a review. II. Computers for decision support and education”. Medical Informatics 20 (1995) 303–329CrossRefGoogle Scholar
  3. 3.
    Pearl, J. Probabilistic reasoning in intelligent systems: networks of plausible inference. San Mateo, California: Morgan Kaufmann (1988)Google Scholar
  4. 4.
    Hernando, M.E., Gómez, E.J., Del Pozo, F. y Corcoy, R. DIABNET: A qualitative modelbased advisory system for therapy planning in gestational diabetes. Medical Informatics 21 (1996) 359–374.Google Scholar
  5. 5.
    Hernando, M.E., Gómez, E.J., Corcoy, R. and del Pozo, F. Evaluation of DIABNET, a decision support system for therapy planning in gestational diabetes. Computers Methods and Programs in Biomedicine 62 (2000) 235–248CrossRefGoogle Scholar
  6. 6.
    Gómez, E.J., Quiles, J.A., Sanz, M.F. and Del Pozo, F. A User-Centered Cooperative Information System for Medical Imaging Diagnosis, Journal of the American Society for Information Science 49 (1998) 810–816.Google Scholar
  7. 7.
    M. E. Hernando, E. J. Gomez, A. Garcia y F. del Pozo A multi-access server for the virtual management of diabetes. In Proceedings: ESEM 99 (Fifth conference of the European Society for Engineering and Medicine), Barcelona (1999) 309–310.Google Scholar
  8. 8.
    Gómez, E.J., Del Pozo, F. and Hernando, M.E. Telemedicine for Diabetes Care: the DIABTel approach towards diabetes telecare. Medical Informatics 21 (1996) 283–296.Google Scholar
  9. 9.
    M2DM: multi-access services for the management of diabetes mellitus. EU Project. IST-1999-10315.Google Scholar

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

Personalised recommendations