Literature DB >> 1756682

Särimner: a computer model of diabetes physiology for education of physicians and patients.

J Hedbrant1, J Ludvigsson, K Nordenskjöld.   

Abstract

Often diabetic patients have developed their skills by some trial-and-error-like training over a long period of time. To minimize this inconvenience we have made a mathematical model to facilitate diabetes education. The model consists of a number of blocks involved in diabetes physiology: digestion, blood (transport), pancreas, injected insulin absorption, liver, muscles, kidneys, metabolism and insulin sensitivity. The model serves as a demonstration object and the user can change meals, exercise and injections and see the resulting blood glucose level. A more experienced user can search for further explanations of different phenomena deeper in the physiology of the model. The model does not solve any problem for the user, but creates a learning situation in which the user, led by his own curiosity, successively increases his experience of diabetes physiology. Särimner is implemented as an easy-to-use menu driven computer program for IBM PC-clones with Hercules, EGA or VGA graphics.

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Year:  1991        PMID: 1756682     DOI: 10.1016/0168-8227(91)90117-v

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  3 in total

1.  The next generation of artificial pancreas control algorithms.

Authors:  Rodrigo E Teixeira; Stephen Malin
Journal:  J Diabetes Sci Technol       Date:  2008-01

2.  Incorporating a generic model of subcutaneous insulin absorption into the AIDA v4 diabetes simulator. 3. Early plasma insulin determinations.

Authors:  Eldon D Lehmann; Cristina Tarín; Jorge Bondia; Edgar Teufel; Tibor Deutsch
Journal:  J Diabetes Sci Technol       Date:  2009-01

3.  Dynamic Interactive Educational Diabetes Simulations Using the World Wide Web: An Experience of More Than 15 Years with AIDA Online.

Authors:  Eldon D Lehmann; Dennis K Dewolf; Christopher A Novotny; Karen Reed; Robert R Gotwals
Journal:  Int J Endocrinol       Date:  2014-01-06       Impact factor: 3.257

  3 in total

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