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Medical Informatics

Knowledge Management and Data Mining in Biomedicine

  • Book
  • © 2005

Overview

Editors:
  1. Hsinchun Chen

    1. The University of Arizona, USA

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  2. Sherrilynne S. Fuller

    1. University of Washington, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Carol Friedman

    1. Columbia University, USA

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  4. William Hersh

    1. Oregon Health & Science Univ., USA

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  • The authors are widely recognized professors and researchers in Schools of Medicine and Information Systems from the University of Arizona, University of Washington, Columbia University, and Oregon Health and Science University
  • In addition, individual expert contributing authors have been commissioned to write chapters for the book on their respective topical expertise
  • The newer concepts, techniques, and practices of biomedical knowledge management and data mining are introduced and examined in detail
  • The editors have developed a book that will compliment the popular introductory medical informatics textbooks and could provide a comprehensive, understandable, and up-to-date review of the recent advances in biomedical informatics
  • Includes supplementary material: sn.pub/extras

Part of the book series: Integrated Series in Information Systems (ISIS, volume 8)

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Table of contents (21 chapters)

  1. Front Matter

    Pages i-xliii
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  2. Foundational Topics in Medical Informatics

    1. Front Matter

      Pages 1-1
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    2. Knowledge Management, Data Mining, and Text Mining in Medical Informatics

      • Hsinchun Chen, Sherrilynne S. Fuller, Carol Friedman, William Hersh
      Pages 3-33

    3. Mapping Medical Informatics Research

      • Shauna Eggers, Zan Huang, Hsinchun Chen, Lijun Yan, Cathy Larson, Asraa Rashid et al.
      Pages 35-62

    4. Bioinformatics Challenges and Opportunities

      • Peter Tarczy-Hornoch, Mark Minie
      Pages 63-94

    5. Managing Information Security and Privacy in Healthcare Data Mining

      • Ted Cooper, Jeff Collman
      Pages 95-137

    6. Ethical and Social Challenges of Electronic Health Information

      • Peter S. Winkelstein
      Pages 139-159

  3. Information and Knowledge Management

    1. Front Matter

      Pages 161-161
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    2. Medical Concept Representation

      • Christopher G. Chute
      Pages 163-182

    3. Characterizing Biomedical Concept Relationships

      • Debra Revere, Sherrilynne S. Fuller
      Pages 183-210

    4. Biomedical Ontologies

      • Olivier Bodenreider, Anita Burgun
      Pages 211-236

    5. Information Retrieval and Digital Libraries

      • William R. Hersh
      Pages 237-275

    6. Modeling Text Retrieval in Biomedicine

      • W. John Wilbur
      Pages 277-297

    7. Public Access to Anatomic Images

      • George R. Thoma
      Pages 299-332

    8. 3D Medical Informatics

      • Terry S. Yoo
      Pages 333-358

    9. Infectious Diseaxe Informatics and Outbreak detection

      • Daniel Zeng, Hsinchun Chen, Cecil Lynch, Millicent Eidson, Ivan Gotham
      Pages 359-395

  4. Text Mining and Data Mining

    1. Front Matter

      Pages 397-397
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    2. Semantic Interpretation for the Biomedical Research Literature

      • Thomas C. Rindflesch, Marcelo Fiszman, Bisharah Libbus
      Pages 399-422

    3. Semantic Text Parsing for Patient Records

      • Carol Friedman
      Pages 423-448

    4. Identification of Biological Relationships from Text Documents

      • Mathew Palakal, Snehasis Mukhopadhyay, Matthew Stephens
      Pages 449-489
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Keywords

About this book

Knowledge Management and Data Mining in Biomedicine covers the basic foundations of the area while extending the foundational material to include the recent leading-edge research in the field. The newer concepts, techniques, and practices of biomedical knowledge management and data mining are introduced and examined in detail. It is the research and applications in these areas that are raising the technical horizons and expanding the utility of informatics to an increasing number of biomedical professionals and researchers. These concepts and techniques are illustrated with detailed case studies.

Editors and Affiliations

  • The University of Arizona, USA

    Hsinchun Chen

  • University of Washington, USA

    Sherrilynne S. Fuller

  • Columbia University, USA

    Carol Friedman

  • Oregon Health & Science Univ., USA

    William Hersh

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