Data-driven Modeling for Diabetes PDF
By:Vasilis Marmarelis,Georgios Mitsis
Published on 2014-04-22 by Springer Science & Business
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.
This Book was ranked at 32 by Google Books for keyword blood sugar control.
Book ID of Data-driven Modeling for Diabetes's Books is MbG9BAAAQBAJ, Book which was written byVasilis Marmarelis,Georgios Mitsishave ETAG "WbSHhJ9/ZqQ"
Book which was published by Springer Science & Business since 2014-04-22 have ISBNs, ISBN 13 Code is 9783642544644 and ISBN 10 Code is 3642544649
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Book which have "237 Pages" is Printed at BOOK under CategoryTechnology and Engineering
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