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Data-driven Modeling for Diabetes

Diagnosis and Treatment

  • Book
  • © 2014

Overview

Editors:
  1. Vasilis Marmarelis

    1. Biomedical Engineering, University of Southern California, Los Angeles, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Georgios Mitsis

    1. Electrical and Computer Engineering, Greece, University of Cyprus,Nicosia,Greese and McGill University, Montreal QC, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents a unique collection of model-based studies related to diabetes
  • Provides model-based strategies for early and sensitive diagnosis of diabetes
  • Includes practical model-based methods for online glycemic control
  • Written by leading experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Bioengineering (LNBE)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Data-Driven and Minimal-Type Compartmental Insulin-Glucose Models: Theory and Applications

    • Georgios D. Mitsis, Vasilis Z. Marmarelis
    Pages 1-35

  3. Ensemble Glucose Prediction in Insulin-Dependent Diabetes

    • Fredrik StÃ¥hl, Rolf Johansson, Eric Renard
    Pages 37-71

  4. Hypoglycemia Prevention Using Low Glucose Suspend Systems

    • B. Wayne Bequette
    Pages 73-89

  5. Adaptive Algorithms for Personalized Diabetes Treatment

    • Elena Daskalaki, Peter Diem, Stavroula Mougiakakou
    Pages 91-116

  6. Pitfalls in Model Identification: Examples from Glucose-Insulin Modelling

    • Simona Panunzi, Andrea DeGaetano
    Pages 117-129

  7. Simulation Models for In-Silico Evaluation of Closed-Loop Insulin Delivery Systems in Type 1 Diabetes

    • Malgorzata E. Wilinska, Roman Hovorka
    Pages 131-149

  8. Simple Parameters Describing Gut Absorption and Lipid Dynamics in Relation to Glucose Metabolism During a Routine Oral Glucose Test

    • Andrea Tura, Giovanni Pacini
    Pages 151-163

  9. Data-Driven Modeling of Diabetes Progression

    • Andrea DeGaetano, Simona Panunzi, Pasquale Palumbo, Claudio Gaz, Thomas Hardy
    Pages 165-186

  10. Linear Modeling and Prediction in Diabetes Physiology

    • Marzia Cescon, Rolf Johansson
    Pages 187-222

  11. Nonlinear Modeling of the Dynamic Effects of Free Fatty Acids on Insulin Sensitivity

    • Vasilis Z. Marmarelis, Dae C. Shin, Georgios D. Mitsis
    Pages 223-237
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Keywords

About this book

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.

Editors and Affiliations

  • Biomedical Engineering, University of Southern California, Los Angeles, USA

    Vasilis Marmarelis

  • Electrical and Computer Engineering, Greece, University of Cyprus,Nicosia,Greese and McGill University, Montreal QC, Canada

    Georgios Mitsis

Bibliographic Information

  • Book Title: Data-driven Modeling for Diabetes

  • Book Subtitle: Diagnosis and Treatment

  • Editors: Vasilis Marmarelis, Georgios Mitsis

  • Series Title: Lecture Notes in Bioengineering

  • DOI: https://doi.org/10.1007/978-3-642-54464-4

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2014

  • Hardcover ISBN: 978-3-642-54463-7Published: 06 May 2014

  • Softcover ISBN: 978-3-662-52367-4Published: 03 September 2016

  • eBook ISBN: 978-3-642-54464-4Published: 22 April 2014

  • Series ISSN: 2195-271X

  • Series E-ISSN: 2195-2728

  • Edition Number: 1

  • Number of Pages: X, 237

  • Number of Illustrations: 34 b/w illustrations, 40 illustrations in colour

  • Topics: Biomedical Engineering and Bioengineering, Diabetes, Human Physiology, Physiological, Cellular and Medical Topics

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