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Data-driven Modeling for Diabetes : Diagnosis and Treatment (Reprint) (Paperback)

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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.
Edition: Reprint
Genre: Technology, Medical
Series Title: Lecture Notes in Bioengineering
Format: Paperback
Publisher: Springer Verlag
Language: English
Street Date: September 23, 2016
TCIN: 51742748
UPC: 9783662523674
Item Number (DPCI): 248-33-6829

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