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.
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Number of pages: 332
Weight: 6387 g
Dimensions: 235 x 155 x 21 mm
Edition: 2014 ed.
You may also be interested in...
Please sign in to write a review