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  • Conference proceedings
  • © 2011

Knowledge Representation for Health-Care

ECAI 2010 Workshop KR4HC 2010, Lisbon, Portugal, August 17, 2010, Revised Selected Papers

Editors:

  1. David Riaño

    1. ETSE – Universitat Rovira i Virgili, Tarragona, Spain

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  2. Annette Teije

    1. Department of AI, Knowledge Representation and REasoning Group, Free University Amsterdam, Amsterdam, The Netherlands

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  3. Silvia Miksch

    1. Department of Information and Knowledge Engineering, Danube University Krems, Krems, Austria

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  4. Mor Peleg

    1. Faculty of Social Sciences, Department of Information Systems, University of Haifa, Haifa, Israel

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  • deals with the interaction between patient data and guidelines

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6512)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Conference series link(s): KR4HC: International Workshop on Knowledge Representation for Health Care

Conference proceedings info: KR4HC 2010.

Sections

eBook USD 59.99
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  • ISBN: 978-3-642-18050-7
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Table of contents (11 papers)

  1. Front Matter

    PDF

  2. Ontologies

    1. Ontology-Based Retrospective and Prospective Diagnosis and Medical Knowledge Personalization

      • Cristina Romero-Tris, David Riaño, Francis Real
      Pages 1-15

    2. A Semantic Web Approach to Integrate Phenotype Descriptions and Clinical Data

      • María Taboada, María Jesús Sobrido, Verónica Colombo, Belén Pilo
      Pages 16-26

  3. Patient Data, Records, and Guidelines

    1. Inducing Decision Trees from Medical Decision Processes

      • Pere Torres, David Riaño, Joan Albert López-Vallverdú
      Pages 40-55

    2. Critiquing Knowledge Representation in Medical Image Interpretation Using Structure Learning

      • Niels Radstake, Peter J. F. Lucas, Marina Velikova, Maurice Samulski
      Pages 56-69

    3. Linguistic and Temporal Processing for Discovering Hospital Acquired Infection from Patient Records

      • Caroline Hagège, Pierre Marchal, Quentin Gicquel, Stefan Darmoni, Suzanne Pereira, Marie-Hélène Metzger
      Pages 70-84

    4. A Markov Analysis of Patients Developing Sepsis Using Clusters

      • Femida Gwadry-Sridhar, Michael Bauer, Benoit Lewden, Ali Hamou
      Pages 85-100

  4. Clinical Practice Guidelines

    2. Updating a Protocol-Based Decision-Support System’s Knowledge Base: A Breast Cancer Case Study

      • Claudio Eccher, Andreas Seyfang, Antonella Ferro, Silvia Miksch
      Pages 126-138

    3. Toward Probabilistic Analysis of Guidelines

      • Arjen Hommersom
      Pages 139-152

  5. Back Matter

    PDF
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Other Volumes

  1. Knowledge Representation for Health-Care

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About this book

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 data, records, and guidelines, and clinical practice guidelines.
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Keywords

  • cluster analysis
  • data mining
  • digital libraries
  • health care
  • health records
  • information systems
  • interoperability
  • knowledge acquisition
  • medical images
  • patient data
  • semantic web
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Editors and Affiliations

  • ETSE – Universitat Rovira i Virgili, Tarragona, Spain

    David Riaño

  • Department of AI, Knowledge Representation and REasoning Group, Free University Amsterdam, Amsterdam, The Netherlands

    Annette Teije

  • Department of Information and Knowledge Engineering, Danube University Krems, Krems, Austria

    Silvia Miksch

  • Faculty of Social Sciences, Department of Information Systems, University of Haifa, Haifa, Israel

    Mor Peleg

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Bibliographic Information

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Access via your institution
eBook USD 59.99
Price excludes VAT (USA)
  • ISBN: 978-3-642-18050-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 74.99
Price excludes VAT (USA)
Learn about institutional subscriptions