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Medical Informatics - Knowledge Management and Data Mining in Biomedicine (Hardcover, 2005 ed.): Hsinchun Chen, Sherrilynne S.... Medical Informatics - Knowledge Management and Data Mining in Biomedicine (Hardcover, 2005 ed.)
Hsinchun Chen, Sherrilynne S. Fuller, Carol Friedman, William Hersh
R5,370 R4,736 Discovery Miles 47 360 Save R634 (12%) Ships in 12 - 19 working days

Medical Informatics and biomedical computing have grown in quantum measure over the past decade. An abundance of advances have come to the foreground in this field with the vast amounts of biomedical and genomic data, the Internet, and the wide application of computer use in all aspects of medical, biological, and health care research and practice. MEDICAL INFORMATICS: 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.

The book is divided into three major topical sections.

Section I presents the foundational information and knowledge management material and includes topics such as: bioinformatics challenges and standards, security and privacy, ethical and social issues, and biomedical knowledge mapping.

Section II discusses the topics which are relevant to knowledge representations & access and includes topics such as: representations of medical concepts and relationships, genomic information retrieval, 3D medical informatics, public access to anatomic images, and creating and maintaining biomedical ontologies.

Section III examines the emerging application research in data mining, biomedical textual mining, and knowledge discovery research and includes topics such as: semantic parsing and analysisfor patient records, biological relationships, gene pathways, and metabolic networks, exploratory genomic data analysis, joint learning using data and text mining, and disease informatics and outbreak detection.

The book is a comprehensive presentation of the foundations and leading application research in medical informatics/biomedicine. These concepts and techniques are illustrated with detailed case studies.

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 & Science University. In addition, individual expert contributing authors have been commissioned to write chapters for the book on their respective topical expertise.

Medical Informatics - Knowledge Management and Data Mining in Biomedicine (Paperback, Softcover reprint of hardcover 1st ed.... Medical Informatics - Knowledge Management and Data Mining in Biomedicine (Paperback, Softcover reprint of hardcover 1st ed. 2005)
Hsinchun Chen, Sherrilynne S. Fuller, Carol Friedman, William Hersh
R3,235 Discovery Miles 32 350 Ships in 10 - 15 working days

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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