Machine Learning in Healthcare Informatics

The book is a unique effort to represent a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. The book provides a unique compendium of current and emerging machine learning paradigms for he...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Dua, Sumeet (Editor), Acharya, U. Rajendra (Editor), Dua, Prerna (Editor)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Series:Intelligent Systems Reference Library, 56
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary:The book is a unique effort to represent a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. The book provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics and reflects the diversity, complexity and the depth and breath of this multi-disciplinary area. The integrated, panoramic view of data and machine learning techniques can provide an opportunity for novel clinical insights and discoveries.
Physical Description:XII, 332 p. 119 illus., 50 illus. in color. online resource.
ISBN:9783642400179
ISSN:1868-4394 ;