TY  - BOOK
T1  - Data-driven Modeling for Diabetes Diagnosis and Treatment
T2  - Lecture Notes in Bioengineering,
A2  - Marmarelis, Vasilis
A2  - Mitsis, Georgios
LA  - English
PP  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg : Imprint: Springer
YR  - 2014
UL  - http://vufind10-pruebas.sigbunlp.bibliotecas.unlp.edu.ar/Record/dfi.28167
AB  - 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.
OP  - 237
CN  - R856-857
SN  - 9783642544644
KW  - Biomathematics.
KW  - Engineering.
KW  - Biomedical Engineering.
KW  - Diabetes.
KW  - Human Physiology.
KW  - Physiological, Cellular and Medical Topics.
ER  -