Medical Informatics (eBook)

Knowledge Management and Data Mining in Biomedicine

Hsinchun Chen, Sherrilynne S. Fuller, Carol Friedman, William Hersh (Herausgeber)

eBook Download: PDF

2006 | 2005
XLIV, 648 Seiten
Springer US (Verlag)
978-0-387-25739-6 (ISBN)

Infos

Comprehensively presents the foundations and leading application research in medical informatics/biomedicine.

The concepts and techniques are illustrated with detailed case studies.

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 & Science University.

Related Springer title, Shortliffe: Medical Informatics, has sold over 8000 copies

The title will be positioned at the upper division and graduate level Medical Informatics course and a reference work for practitioners in the field.

 

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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.

Inhalt

TABLE OF CONTENTS 6
EDITORS' BIOGRAPHIES 20
AUTHORS' BIOGRAPHIES 24
PREFACE 40
UNIT I Foundational Topics in Medical Informatics 46
Chapter 1 KNOWLEDGE MANAGEMENT, DATA MINING, AND TEXT MINING IN MEDICAL INFORMATICS 48
Chapter 2 MAPPING MEDICAL INFORRIATICS RESEARCH 79
Chapter 3 BIOINFORMATICS CHALLENGES AND OPPORTUNITIES 108
Chapter 4 MANAGING INFORMATION SECURITY AND PRIVACY IN HEALTHCARE DATA MINING 140
Chapter 5 ETHICAL AND SOCIAL CHALLENGES OF ELECTRONIC HEALTH INFORMATION 183
UNIT II Information and Knowledge Management 205
Chapter 6 MEDICAL CONCEPT REPRESENTATION 207
Chapter 7 CHARACTERIZING BIOMEDICAL CONCEPT RELATIONSHIPS 228
Chapter 8 BIOMEDICAL ONTOLOGIES 256
Chapter 9 INFORMATION RETRIEVAL AND DIGITAL LIBRARIES 282
Chapter 10 MODELING TEXT RETRIEVAL IN BIOMEDICINE 321
Chapter 11 PUBLIC ACCESS TO ANATOMIC IMAGES 343
Chapter 12 3D MEDICAL INFORMATICS 378
Chapter 13 INFECTIOUS DISEASE INFORMATICS AND OUTBREAK DETECTION 404
UNIT III Text Mining and Data Mining 441
Chapter 14 SEMANTIC INTERPRETATION FOR THE BIOMEDICAL RESEARCH LITERATURE 443
Chapter 15 SEMANTIC TEXT PARSING FOR PATIENT RECORDS 468
Chapter 16 IDENTIFICATION OF BIOLOGICAL RELATIONSHIPS FROM TEXT DOCUMENTS 494
Chapter 17 CREATING, MODELING, AND VISUALIZING METABOLIC NETWORKS 535
Chapter 18 GENE PATHWAY TEXT MINING AND VISUALIZATION 564
Chapter 19 THE GENOMIC DATA MINE 592
Chapter 20 EXPLORATORY GENOMIC DATA ANALYSIS 617
Chapter 21 JOINT LEARNING USING MULTIPLE TYPES OF DATA AND KNOWLEDGE 638
AUTHOR INDEX 669
SUBJECT INDEX 671

Produkt-Details

• Erscheint lt. Verlag: 19.7.2006
• Reihe/Serie: Integrated Series in Information Systems
• Reihe/Serie: Integrated Series in Information Systems
• Zusatzinfo: XLIV, 648 p. 104 illus.
• Verlagsort: New York
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Web / Internet
• Themenwelt: Informatik ► Weitere Themen ► Bioinformatik
• Themenwelt: Medizin / Pharmazie ► Allgemeines / Lexika
• Themenwelt: Naturwissenschaften ► Biologie
• Themenwelt: Technik ► Bauwesen
• Themenwelt: Technik ► Medizintechnik
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Wirtschaftsinformatik
• Schlagworte: 3D • Bioinformatics • biomedicine • Data Analysis • Data Mining • Friedman • Fuller • Hersh • Informatics • information system • Knowledge • knowledge management • Knowledge Representation • learning • Management • Medical
• ISBN-10: 0-387-25739-X / 038725739X
• ISBN-13: 978-0-387-25739-6 / 9780387257396