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

Medical Informatics: Knowledge Management and Data Mining in Biomedicine (Integrated Series in Information Systems)
Author: N/A
ISBN 13: 9780387243818
ISBN 10: 38724381
Edition: 2005
Publisher: Springer
Publication Date: 2005-06-21
Format: Hardcover
Pages: 648
List Price: $249.00

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.

Doody Review Services

Reviewer:David M. Liebovitz, MD(Northwestern Memorial Hospital)
Description:This book provides informatics students with a foundation in the primary concepts used in knowledge management. Use of these concepts is then illustrated through case examples.
Purpose:The purpose is to complement introductory medical informatics textbooks and focus on biomedical knowledge management for professionals and researchers. This book is needed clarify the concepts and practices used behind the scenes to bring useful knowledge to researchers and caregivers. This book met the authors' objectives.
Audience:According to the authors, this book is directed to a large potential audience. It could serve as a graduate level textbook in informatics; health computing courses in medical, nursing and pharmacy schools would benefit; library science departments would find the book useful for courses; and it would likely provide reference value for researchers and biomedical professionals. These groups truly represent the likely users. The authors are credible authorities.
Features:The book includes foundation material in knowledge management and data mining. Subjects such as ontologies, vocabularies, and biomedical knowledge mapping are included with examples. Various techniques in data mining are explored. Examples from clinical medicine and literature searching to biomedical research are included. Web sites for additional material integrated into chapters are useful. An index of all web sites referenced in the book would have been helpful. Some of the reported work is supported by grants and references are included. The chapters adhere to a consistent organizational framework that includes an overview and questions for discussion. Several figures use black text on a gray background, making it difficult to read.
Assessment:The book is useful beyond the level of an introductory informatics text. Importantly, definitions of key bioinformatics concepts with detailed examples will be useful to readers from diverse backgrounds.