Medical Informatics : Knowledge Management and Data Mining in Biomedicine

Hsinchun Chen

ISBN 10: 1441937358 / ISBN 13: 9781441937353

Verlag: Springer US, 2010

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9781441937353

Bibliografische Details

Titel: Medical Informatics : Knowledge Management ...

Verlag: Springer US

Erscheinungsdatum: 2010

Einband: Taschenbuch

Zustand: Neu

Über diesen Titel

Inhaltsangabe:

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. This book 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.

Reseña del editor:

Comprehensively presents the foundations and leading application research in medical informatics/biomedicine.

The concepts and techniques are illustrated with detailed case studies.

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.

Related Springer title, Shortliffe: Medical Informatics, has sold over 8000 copies

The title will be positioned at the upper division and graduate level Medical Informatics course and a reference work for practitioners in the field.