Knowledge Representation for Health-Care ECAI 2010 Workshop KR4H
This book constitutes the proceedings of the KR4HC 2010 workshop held at ECAI in Lisbon, Portugal, in August 2010. The 11 extended papers presented were carefully reviewed and selected from 19 submissions. The papers cover topics like ontologies, patient
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Subseries of Lecture Notes in Computer Science
6512
David Riaño Annette ten Teije Silvia Miksch Mor Peleg (Eds.)
Knowledge Representation for Health-Care ECAI 2010 Workshop KR4HC 2010 Lisbon, Portugal, August 17, 2010 Revised Selected Papers
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Series Editors Randy Goebel, University of Alberta, Edmonton, Canada Jörg Siekmann, University of Saarland, Saarbrücken, Germany Wolfgang Wahlster, DFKI and University of Saarland, Saarbrücken, Germany Volume Editors David Riaño ETSE – Universitat Rovira i Virgili Av. Països Catalans 26, 43007 Tarragona, Spain E-mail: [email protected] Annette ten Teije Free University Amsterdam Department of AI, Knowledge Representation and Reasoning Group De Boelelaan 1081A, 1081HV Amsterdam, The Netherlands E-mail: [email protected] Silvia Miksch Danube University Krems Department of Information and Knowledge Engineering Dr.-Karl-Dorrek-Str. 30, 3500 Krems, Austria E-mail: [email protected] Mor Peleg University of Haifa Faculty of Social Sciences, Department of Information Systems Rabin Bldg., 31905 Haifa, Israel E-mail: [email protected] Library of Congress Control Number: 2010941587 CR Subject Classification (1998): I.2, J.3, H.4, H.5, H.2, J.1 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13
0302-9743 3-642-18049-3 Springer Berlin Heidelberg New York 978-3-642-18049-1 Springer Berlin Heidelberg New York
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Preface
This book contains the extended version of the best papers of the Second Workshop on Knowledge Representation for Health Care (KR4HC 2010). This workshop was held in conjunction with the 19th European Conference in Artificial Intelligence (ECAI 2010) at Lisbon, Portugal. As computerized health-care support systems are rapidly becoming more knowledge-intensive, the representation of medical knowledge in a form that enables reasoning is growing in relevance and taking a more central role in the area of medical informatics. In order to achieve a successful decision-support and knowledge management approach to medical knowledge representation, the scientific community has to provide efficient representations, technologies, and tools to integrate all the important elements that health care providers work with: electronic health records and health-care inf
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