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Data-driven modeling for diabetes [electronic resource] : diagnosis and treatment / Vasilis Marmarelis, Georgios Mitsis, editors.

Marmarelis, Vasilis Z., editor.; Mitsis, Georgios, editor.
2014
RA645.D5
Available Online
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Title
Data-driven modeling for diabetes [electronic resource] : diagnosis and treatment / Vasilis Marmarelis, Georgios Mitsis, editors.
ISBN
9783642544644 electronic book
3642544649 electronic book
9783642544637
DOI
https://doi.org/10.1007/978-3-642-54464-4
Published
Heidelberg : Springer, 2014.
Language
English
Description
1 online resource (x, 237 pages) : illustrations (some color).
Item Number
10.1007/978-3-642-54464-4 doi
Call Number
RA645.D5
Dewey Decimal Classification
616.4/620015118
Summary
This contributed volume presents computational models of diabetes that quantify the dynamic interrelationships among key physiological variables implicated in the underlying physiology under a variety of metabolic and behavioral conditions. These variables comprise for example blood glucose concentration and various hormones such as insulin, glucagon, epinephrine, norepinephrine as well as cortisol. The presented models provide a powerful diagnostic tool but may also enable treatment via long-term glucose regulation in diabetics through closed-look model-reference control using frequent insulin infusions, which are administered by implanted programmable micro-pumps. This research volume aims at presenting state-of-the-art research on this subject and demonstrating the potential applications of modeling to the diagnosis and treatment of diabetes. The target audience primarily comprises research and experts in the field but the book may also be beneficial for graduate students.
Access Note
Access limited to authorized users.
Source of Description
Description based on online resource; title from PDF title page (SpringerLink, viewed May 5, 2014).
Added Author
Marmarelis, Vasilis Z., editor.
Mitsis, Georgios, editor.
Series
Lecture notes in bioengineering, 2195-271X
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