Data-driven Modeling for Diabetes Data-driven Modeling for Diabetes
Lecture Notes in Bioengineering

Data-driven Modeling for Diabetes

Diagnosis and Treatment

    • 87,99 €
    • 87,99 €

Description de l’éditeur

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.

GENRE
Professionnel et technique
SORTIE
2014
22 avril
LANGUE
EN
Anglais
LONGUEUR
247
Pages
ÉDITIONS
Springer Berlin Heidelberg
TAILLE
4,2
Mo

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