Modeling of metabolic diseases – a review of selected methods

• Autorzy: Świerkosz A.

Identyfikatory

DOI

10.1515/bams-2015-0016

• Języki publikacji: EN

Abstrakty

EN

Diabetes mellitus is a group of metabolic diseases caused by malfunction of blood sugar regulatory processes and has been reported as related to 8.3% of adult population, i.e. nearly 400 million people worldwide. This paper provides a review of facts and principles important for understanding the regulation mechanisms and the role of insulin. The author relies on mathematical modeling of these mechanisms and provides few formulas and computer applications dedicated for use in diabetes. The modeling aims to find a correct dose of insulin as a response to a series of measurement results on glucose concentration. In conclusion, the author recommends selected methods for personal self-check of glucose level and stresses on the importance of regularly checking blood-related parameters.

Słowa kluczowe

EN

diabetes; glucose; insulin

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; Index Copernicus Sp. z o.o.
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2015
• Tom: Vol. 11, no. 4
• Strony: 205--209
• Opis fizyczny: Bibliogr. 7 poz., rys.

Twórcy

autor

Świerkosz A.

• AGH University of Science and Technology, 30 Mickiewicza Ave, 30-059 Cracow, Poland

Bibliografia

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• 2. Friis-Jensen E. Modeling and simulation of glucose-insulin metabolism. Congress Lyngby, 2007, IMM-Bachelor-2007 (s042244).
• 3. Radomski D, Ławryńczuk M, Marusak PM, Tatjewski P. Modeling of glucose concentration dynamics for predictive control of insulin administration. Biocybern Biomed Eng 2010;30:41–53.
• 4. Steil GM, Clark B, Kanderian S, Rebrin K. Modeling insulin action for development of a closed-loop artificial pancreas. Diabetes Technol Ther 2005;7:94–108.
• 5. Bergman RN, Toffolo G, Bowmen CR, Cobelli C. Minimal modeling, partition analysis, and identification of glucose disposal in animals and man. IEEE Trans Biom Eng 1980;129–35.
• 6. Clarke SF, Foster JF. A history of blood glucose meters and their role in self-monitoring of diabetes mellitus. Br J Biomed Sci 2012;69:83–93.
• 7. Clar C, Barnard K, Cummins E, Royle P, Waugh N. Self-monitoring of blood glucose in type 2 diabetes: systematic review. Health Technol Assess 2010;14:1–140.