Electronic Resource

Data-driven Modeling for Diabetes: Diagnosis and Treatment

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1408000196	EB0000307	610.28 Dat	Central Library	Available

Detail Information

Series Title

Lecture Notes in Bioengineering

Call Number

610.28 Dat

Publisher

Berlin Heidelberg : Springer Berlin, Heidelberg., 2014

Collation

x, 237p.: Ill.

Language

English

ISBN/ISSN

978-3-642-54464-4

Classification

610.28

Content Type

Text

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Diabetes
Biomedical engineering

Specific Detail Info

-

Statement of Responsibility

RTS

Other version/related

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