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Current Directions in Biomedical Engineering

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering

Editor-in-Chief: Dössel, Olaf

Wissenschaftlicher Beirat: Augat, Peter / Buzug, Thorsten M. / Haueisen, Jens / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Kraft, Marc / Lenarz, Thomas / Leonhardt, Steffen / Malberg, Hagen / Penzel, Thomas / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Urban, Gerald A.


CiteScore 2018: 0.47

Source Normalized Impact per Paper (SNIP) 2018: 0.377

Open Access
Online
ISSN
2364-5504
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New ways of diabetes management with smart data and genomic data

Kurt Becker
Online erschienen: 07.09.2017 | DOI: https://doi.org/10.1515/cdbme-2017-0104

Abstract

By 2025, the number of diabetic patients worldwide could rise by more than 50 percent from now 250 million to about 380 million. With about 6 million patients, diabetes mellitus is one of the greatest national diseases in Germany.

Type 1 diabetes is a mostly genetically induced autoimmune disease, type 2 diabetes is a civilization disease and arises due to lack of exercise and poor diet. Regardless of the type of diabetes, it is important for those affected to manage their own insulin production of the body and to harmonize these with appropriate possibilities. Because of the harmful side effects of exogenous insulin doses, the major focus should be on a sustainable behavioral change and low-threshold nutritional coaching.

The most important side effects of diabetes are damage to the vascular system with possible consequences: myocardial infarction, stroke, kidney weakness, nasal damage and erectile dysfunction. A concept for a knowledge-based expert system for the therapy of diabetes mellitus is presented, in which genetic, anatomical and physiological parameters are recorded, evaluated and visualized by means of a model-based approach to specific therapeutic recommendations. The "user interface" is a digital avatar, which can display the model parameters in various "abstraction levels" as a metamodel.

Keywords: Diabetes Mellitus; Genomic Data; Genomic Modelling; Health Avatar; Virtual Reality; Augmented Reality; Expert System; Knowledge Base; Explanation Component

Artikelinformationen

Online erschienen: 07.09.2017


Quellenangabe: Current Directions in Biomedical Engineering, Band 3, Heft 2, Seiten 497–500, ISSN (Online) 2364-5504, DOI: https://doi.org/10.1515/cdbme-2017-0104.

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©2017 Kurt Becker published by De Gruyter. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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