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.
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