Medical Informatics
Knowledge Management and Data Mining in Biomedicine
Series: Integrated Series in Information Systems , Vol. 8
Chen, H.; Fuller, S.S.; Friedman, C.; Hersh, W. (Eds.)
2005, XLIV, 647 p., Hardcover
ISBN: 978-0-387-24381-8
Print
Recommend to othe
All books by these e
Chen, Hsinchun
Fuller, Sherrilynne S.
Friedman, Carol
Hersh, William
Related subjects
This item usually ships in 2-3 business days
$89.95
About this book
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 analysis for 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.
Written for:
Medical informatics, computer science, information systems, information science, biomedical, nursing,
and pharmaceutical researchers and students, biomedical professionals and consultants in the health
care industry
Keywords:
Biomedicine
Friedman
Fuller
Hersh
Informatics
Knowledge
Management
Medical
Bioinformatics
Biomedical Engineering
Business Information Sys
Information Systems