Knowledge-Based Systems in Biomedicine and Computational Life Science
This book presents a sample of research on knowledge-based systems in biomedicine and computational life science. The contributions include:· personalized stress diagnosis system· &nbs
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Tuan D. Pham and Lakhmi C. Jain (Eds.)
Knowledge-Based Systems in Biomedicine and Computational Life Science
ABC
Editors Prof. Tuan D. Pham Aizu Research Cluster for Medical Engineering and Informatics Center for Advanced Information Science and Technology The University of Aizu Aizuwakamatsu, Fukushima 965-8580 Japan
Dr. Lakhmi C. Jain Adjunct Professor University of Canberra ACT 2601 Australia And University of South Australia Adelaide South Australia SA 5095 Australia
ISSN 1860-949X e-ISSN 1860-9503 ISBN 978-3-642-33014-8 e-ISBN 978-3-642-33015-5 DOI 10.1007/978-3-642-33015-5 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2012945299 c Springer-Verlag Berlin Heidelberg 2013 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
Expert systems, decision support systems, and knowledge-based systems have been developed for clinical applications over the decades [1]. In particular, the framework of a knowledge-based system has been explored to embed a set of systems that for reasoning on detailed knowledge of a domain. Expert systems and decision support systems in medicine utilize techniques offered by Artificial Intelligence (AI) to provide inference for ma
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