Machine Learning in Healthcare Informatics
. Ed(S): Dua, Sumeet; Acharya U., Rajendra; Dua, Prerna
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Description for Machine Learning in Healthcare Informatics
Paperback. Providing a unique and integrated compendium of both current and emerging machine-learning paradigms in the vital field of health informatics, this work by leading experts reflects the diversity and complexity of this multi-disciplinary area of research. Editor(s): Dua, Sumeet; Acharya U., Rajendra; Dua, Prerna. Series: Intelligent Systems Reference Library. Num Pages: 344 pages, 69 black & white illustrations, 50 colour illustrations, biography. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 18. Weight in Grams: 528.
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.
Product Details
Format
Paperback
Publication date
2016
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
344
Condition
New
Series
Intelligent Systems Reference Library
Number of Pages
332
Place of Publication
Berlin, Germany
ISBN
9783662507636
SKU
V9783662507636
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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