Medical Informatics: Knowledge Management and Data Mining in Biomedicine (Integrated Series in Information Systems) (Hardcover)

~ Hsinchun Chen (Editor), Sherrilynne S. Fuller (Editor), Carol Friedman (Editor), William Hersh (Editor)
Key Phrases: known genetic interactions, learning regulatory networks, term mapper, New York, National Library of Medicine, Visible Human (more...)

Editorial Reviews

Product Description

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.

Product Details

• Hardcover: 647 pages
• Publisher: Springer; 1 edition (June 21, 2005)
• Language: English
• ISBN-10: 038724381X
• ISBN-13: 978-0387243818
• Product Dimensions: 9.6 x 6.6 x 1.5 inches
• Shipping Weight: 2.4 pounds (View shipping rates and policies)
• Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
• Amazon.com Sales Rank: #516,944 in Books (See Bestsellers in Books)

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Customer Reviews

Most Helpful Customer Reviews

4 of 4 people found the following review helpful:

4.0 out of 5 stars Excellent Introduction to Medical Informatics, May 30, 2007

By	Peggy Mancuso (Texas) - See all my reviews (REAL NAME)

This book focuses on the current software in use today and its application(s) in Biomedical Informatics. It is by far the best introductory overview and reference for this purpose that I have seen to date.

5.0 out of 5 stars A Core Text in Biomedical Informatics, May 22, 2009

By	Thomas P. Caruso "Playful Otter" (Blacksburg, VA USA) - See all my reviews (REAL NAME)

This is a good review of the research in biomedical informatics and the issues resolved and questioned by that research. If you are in biomedical informatics, I would recommend that you read this book, and if you teach biomedical informatics this should be a core text.