Data-driven Modeling for Diabetes

Diagnosis and Treatment

Nonfiction, Health & Well Being, Medical, Specialties, Internal Medicine, Endocrinology & Metabolism, Science & Nature, Technology, Engineering
Cover of the book Data-driven Modeling for Diabetes by , Springer Berlin Heidelberg
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783642544644
Publisher: Springer Berlin Heidelberg Publication: April 22, 2014
Imprint: Springer Language: English
Author:
ISBN: 9783642544644
Publisher: Springer Berlin Heidelberg
Publication: April 22, 2014
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer Berlin Heidelberg

Cover of the book CSR und Finance by
Cover of the book Model Based Parameter Estimation by
Cover of the book Mathematical Statistics by
Cover of the book Mixed Conducting Ceramic Membranes by
Cover of the book Advances in CT II by
Cover of the book The Variation Theory of Comparative Literature by
Cover of the book Hochschulerfinderrecht by
Cover of the book Circadian Clocks by
Cover of the book Quantum Physics by
Cover of the book Environmental Geochemistry in the Tropics by
Cover of the book Modern Earthquake Engineering by
Cover of the book Cellular Aspects of Wood Formation by
Cover of the book Histamine Intolerance by
Cover of the book Pulmonary Diseases by
Cover of the book Bedürfnis- und lösungsorientierte Gespräche führen - privat und beruflich by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy