Description
Data-driven Modeling for Diabetes, 2014
Diagnosis and Treatment
Lecture Notes in Bioengineering Series
Coordinators: Marmarelis Vasilis, Mitsis Georgios
Language: EnglishSubjects for Data-driven Modeling for Diabetes:
Publication date: 09-2016
Support: Print on demand
Publication date: 05-2014
237 p. · 15.5x23.5 cm · Hardback
Description
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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