Simple Parameters Describing Gut Absorption and Lipid Dynamics in Relation to Glucose Metabolism During a Routine Oral G
The oral glucose tolerance test (OGTT) is a simple and physiological test used for the diagnosis of diabetes and, more generally, for the assessment of the metabolic condition of an individual. For a deep analysis of the OGTT data, the exploitation of mat
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Vasilis Marmarelis Georgios Mitsis Editors
Data-driven Modeling for Diabetes Diagnosis and Treatment
Data-driven Modeling for Diabetes
Lecture Notes in Bioengineering
For further volumes: http://www.springer.com/series/11564
Vasilis Marmarelis Georgios Mitsis •
Editors
Data-driven Modeling for Diabetes Diagnosis and Treatment
123
Editors Vasilis Marmarelis Department of Biomedical Engineering University of Southern California Los Angeles, CA USA
Georgios Mitsis Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus and McGill University Montreal, QC Canada
ISSN 2195-271X ISSN 2195-2728 (electronic) ISBN 978-3-642-54463-7 ISBN 978-3-642-54464-4 (eBook) DOI 10.1007/978-3-642-54464-4 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2014937279 Springer-Verlag Berlin Heidelberg 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
The motivation for this book is two-fold. On one hand, the book seeks to promote the notion that mathematical and computational modeling is critically important in advancing the scientific understanding of the physiological processes underpinning the regulation of blood glucose and, therefore, can be valuable in medical/clinical efforts to manage diabetes
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