Data-driven Modeling for Diabetes: Diagnosis and Treatment

Vasilis Marmarelis (Curatore)

Georgios Mitsis (Curatore)

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2014

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.

• Curatore: Vasilis Marmarelis, Georgios Mitsis
• Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Collana: Lecture Notes in Bioengineering
• Anno: 2014
• Rilegatura: Hardback
• Pagine: 237 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783642544637

Testo in English