Combined model for diabetes lifestyle support

Peter Gyuk, Istvan Szabo, Istvan Vassanyi, Istvan Kosa, Levente Kovacs

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Treatment of diabetes mellitus is a public health related problem of modern healthcare. Surveys show that current methods to estimate the required amount of insulin are quite inefficient in practice as they are based on experience. This paper offers a new approach to predict the glucose level of people with diabetes. It combines two efficient models of the literature: one for nutrient absorption and one for glucose control. The combination of them tracks the blood sugar level considering nutrition composition, applied insulin and initial glucose level. Compared to already existing mixed meal models, the current version takes into account a more detailed nutrition composition (protein, lipid, monosaccharide, fiber and starch) supported by our expert dietary systems. Although the model gives satisfactory results even with parameter sets taken from literature, parameter training by genetic algorithms yields a better tracking of the patients.

Original languageEnglish
Title of host publicationCross-Border Challenges in Informatics with a Focus on Disease Surveillance and Utilising Big Data - Proceedings of the EFMI Special Topic Conference, EFMI STC 2014
PublisherIOS Press
Pages77-81
Number of pages5
ISBN (Print)9781614993889
DOIs
Publication statusPublished - Jan 1 2014
Event11th European Federation for Medical Informatics Special Topic Conference, EFMI STC 2014 - Budapest, Hungary
Duration: Apr 27 2014Apr 29 2014

Publication series

NameStudies in Health Technology and Informatics
Volume197
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other11th European Federation for Medical Informatics Special Topic Conference, EFMI STC 2014
CountryHungary
CityBudapest
Period4/27/144/29/14

Keywords

  • Diabetes
  • Glucose absorption
  • Glucose-Insulin model
  • eHealth

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • Cite this

    Gyuk, P., Szabo, I., Vassanyi, I., Kosa, I., & Kovacs, L. (2014). Combined model for diabetes lifestyle support. In Cross-Border Challenges in Informatics with a Focus on Disease Surveillance and Utilising Big Data - Proceedings of the EFMI Special Topic Conference, EFMI STC 2014 (pp. 77-81). (Studies in Health Technology and Informatics; Vol. 197). IOS Press. https://doi.org/10.3233/978-1-61499-389-6-77