Using Lexical, Terminological and Ontological Resources for Entity Recognition Tasks in the Medical Domain

This paper reports on a case-study of applying various publicly available resources (lexical, terminological and ontological) for medical recognition tasks, that is, for identifying medical entities in the analysis of clinical practice guideline texts. Th

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Subseries of Lecture Notes in Computer Science

4924

David Riaño (Ed.)

Knowledge Management for Health Care Procedures From Knowledge to Global Care AIME 2007 Workshop K4CARE 2007 Amsterdam, The Netherlands, July 7, 2007 Revised Selected Papers

13

Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA Jörg Siekmann, University of Saarland, Saarbrücken, Germany Volume Editor David Riaño Dept. Enginyeria Informatica i Matematiques - ETSE Av. Països Catalans 26, 43007 Tarragona, Spain E-mail: [email protected]

Library of Congress Control Number: 2008921997

CR Subject Classification (1998): I.2, I.4, J.3, H.2.8, H.4, H.3 LNCS Sublibrary: SL 7 – Artificial Intelligence ISSN ISBN-10 ISBN-13

0302-9743 3-540-78623-6 Springer Berlin Heidelberg New York 978-3-540-78623-8 Springer Berlin Heidelberg New York

This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. Springer is a part of Springer Science+Business Media springer.com © Springer-Verlag Berlin Heidelberg 2008 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper SPIN: 12239801 06/3180 543210

Preface

The incursion of information and communication technologies (ICT) in health care entails evident benefits at the levels of security and efficiency that improve not only the quality of life of the patients, but also the quality of the work of the health care professionals and the costs of national health care systems. Leaving research approaches aside, the analysis of ICT in health care shows an evolution from the initial interest in representing and storing health care data (i.e., electronic health care records) to the current interest of having remote access to electronic health care systems, as for example HL7 initiatives or telemedicine. This sometimes imperceptible evolution can be interpreted as a new step of the progress path of health care informatics, whose next emerging milestone is the convergence of current solutions with formal methods for health care knowledge management. In this sense, K4CARE is a European project aiming at contributing to this progress path. It is centered on the idea that health care knowledge represented in a formal way may favor the treatment of home care patients in modern societies. The project highlights several aspects that are considered relevant to the evolution of medical informatics: health care knowledge production, health care knowledge integration, update, and adaptation, a