Medical Informatics de Hsinchun Chen

Medical Informatics: Knowledge Management and Data Mining in Biomedicine: Integrated Series in Information Systems, cartea 8

Hsinchun Chen

Sherrilynne S. Fuller

Carol Friedman

William Hersh

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.

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Paperback (1)	784^.21 lei 6-8 săpt.
Springer Us – 8 dec 2010	784^.21 lei 6-8 săpt.
Hardback (1)	1098^.59 lei 6-8 săpt.
Springer Us – 21 iun 2005	1098^.59 lei 6-8 săpt.

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Cuprins

Foundational Topics in Medical Informatics.- Knowledge Management, Data Mining, and Text Mining in Medical Informatics.- Mapping Medical Informatics Research.- Bioinformatics Challenges and Opportunities.- Managing Information Security and Privacy in Healthcare Data Mining.- Ethical and Social Challenges of Electronic Health Information.- Information and Knowledge Management.- Medical Concept Representation.- Characterizing Biomedical Concept Relationships.- Biomedical Ontologies.- Information Retrieval and Digital Libraries.- Modeling Text Retrieval in Biomedicine.- Public Access to Anatomic Images.- 3D Medical Informatics.- Infectious Diseaxe Informatics and Outbreak detection.- Text Mining and Data Mining.- Semantic Interpretation for the Biomedical Research Literature.- Semantic Text Parsing for Patient Records.- Identification of Biological Relationships from Text Documents.- Creating, Modeling, and Visualizing Metabolic Networks.- Gene Pathway Text Mining and Visualization.- The Genomic Data Mine.- Exploratory Genomic Data Analysis.- Joint Learning Using Multiple Types of Data and Knowledge.

Caracteristici

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