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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.
Published by: Springer
Publication Date: 2013-12-27
Format: Hardcover
ISBN-13: 9783642400162
DOI: 10.1007/978-3-642-40017-9
Dimensions: 235cm x155cm
Pages: 332