NDLI: Simulation of the human glucose metabolism using fuzzy arithmetic

Content Provider	IEEE Xplore Digital Library
Author	Hanss, M. Nehls, O.
Copyright Year	2000
Description	Author affiliation: Inst. A of Mech., Stuttgart Univ., Germany (Hanss, M.)
Abstract	With the object of future improvement of the medical treatment of diabetes, human glucose metabolism is simulated using fuzzy arithmetic to take into account the uncertainties in the physiological model. For this purpose, the uncertain model parameters and model inputs are represented by fuzzy numbers with their shape derived from experimental data or expert knowledge. To avoid the disadvantageous consequences of standard fuzzy arithmetic, a new implementation of fuzzy arithmetic is used which guarantees a proper solution of the problem. Finally, as a byproduct of the new implementation of fuzzy arithmetic, a measure of influence is introduced which allows a quantification of the percentile influence of each varying factor in the physiological model on the variation of the overall model output. By doing this, one can detect to what extent the model output is influenced by the different model parameter which is of extreme importance for the practical optimization of medical therapy.
Starting Page	201
Ending Page	205
File Size	347058
Page Count	5
File Format	PDF
ISBN	0780362748
DOI	10.1109/NAFIPS.2000.877420
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-07-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans Sugar Biochemistry Arithmetic Diabetes Biological system modeling Uncertainty Medical treatment Insulin Medical simulation
Content Type	Text
Resource Type	Article

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