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Data-Driven Modeling for Diabetes: Diagnosis and Treatment

Data-Driven Modeling for Diabetes: Diagnosis and Treatment

Paperback

Series: Lecture Notes in Bioengineering

Medical ReferenceTechnology & Engineering

ISBN10: 3662523671
ISBN13: 9783662523674
Publisher: Springer Nature
Published: Sep 3 2016
Pages: 237
Weight: 0.78
Height: 0.52 Width: 6.14 Depth: 9.21
Language: English

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

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