Data-driven Modeling for Diabetes Diagnosis and Treatment /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Marmarelis, Vasilis (Editor), Mitsis, Georgios (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
• Series: Lecture Notes in Bioengineering,
• Subjects: Engineering.; Human physiology.; Diabetes.; Biomathematics.; Biomedical engineering.; Biomedical Engineering.; Human Physiology.; Physiological, Cellular and Medical Topics.

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 concentr...

Table of Contents:

• 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.