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Modeling of metabolic diseases – a review of selected methods

  • Agnieszka Świerkosz EMAIL logo
Published/Copyright: November 17, 2015
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Bio-Algorithms and Med-Systems
From the journal Bio-Algorithms and Med-Systems Volume 11 Issue 4

Abstract

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.

Keywords: diabetes; glucose; insulin
Corresponding author: Agnieszka Świerkosz, AGH University of Science and Technology, 30 Mickiewicza Ave, 30-059 Cracow, Poland, E-mail:

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This study was supported by the AGH University of Science and Technology (grant/award no. 11.11.120.618).

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

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Received: 2015-5-28
Accepted: 2015-10-20
Published Online: 2015-11-17
Published in Print: 2015-12-1

©2015 by De Gruyter

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  1. Frontmatter
  2. Reviews
  3. Genetic background of urinary incontinence – state-of-the-art and perspectives
  4. Modeling of metabolic diseases – a review of selected methods
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https://doi.org/10.1515/bams-2015-0016
Keywords for this article
diabetes; glucose; insulin

Articles in the same Issue

  1. Frontmatter
  2. Reviews
  3. Genetic background of urinary incontinence – state-of-the-art and perspectives
  4. Modeling of metabolic diseases – a review of selected methods
  5. Research Articles
  6. Evaluation of Emotiv EEG neuroheadset
  7. Experimental research and modeling of selected layers of the trachea based on EBUS
  8. Application of S-transform to signal analysis
  9. The application of spherical standards for the evaluation of the accuracy of mapping shape in computed tomography
  10. Branched iterated function system (IFS) models with positioners for biological visualizations
  11. Rough assessment of GPU capabilities for parallel PCC-based biclustering method applied to microarray data sets
  12. Research on dynamics of the knee joint for different types of loads
  13. Modeling of lumbar spine equipped with fixator
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