Data-driven Modeling for Diabetes

Diagnosis and Treatment

Vasilis Marmarelis, Georgios Mitsis (Herausgeber)

Buch | Softcover

X, 237 Seiten

2016 | Softcover reprint of the original 1st ed. 2014
Springer Berlin (Verlag)
978-3-662-52367-4 (ISBN)

Artikel merken

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.

Hypoglycemia Prevention using Low Glucose Suspend Systems.- Linear Modeling and Prediction in Diabetes Physiology.- Adaptive Algorithms for Personalized Diabetes Treatment.- Data-driven modeling of Diabetes Progression.- Nonlinear Modeling of the Dynamic Effects of Free Fatty Acids on Insulin Sensitivity.- Data-driven and Mininal-type Compartmental Insulin-Glucose Models: Theory and Applications.- Pitfalls in model identification: examples from Glucose-Insulin modelling.- Ensemble Glucose Prediction in Insulin-Dependent Diabetes.- Simple parameters describing gut absorption and lipid dynamics in relation to glucose metabolism during a routine oral glucose test.- Simulation Models for In-Silico Evaluation of Closed-Loop Insulin Delivery Systems in Type 1 Diabetes

Erscheinungsdatum	15.09.2016
Reihe/Serie	Lecture Notes in Bioengineering
Zusatzinfo	X, 237 p. 74 illus., 40 illus. in color.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
Themenwelt	Technik
Schlagworte	Applied mathematics • biomedical engineering • Computational Models of Diabetes • Diabetes • Diabetes mellitus • Diagnostic Tool • Engineering • Human Physiology • Implanted Micro-pumps • Long-term Glucose Regulation • Online Glycemic Control • Physiological, Cellular and Medical Topics • Physiology
ISBN-10	3-662-52367-1 / 3662523671
ISBN-13	978-3-662-52367-4 / 9783662523674
Zustand	Neuware