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.
| ISBN: | 9783642400162 |
| Publication date: | 27th December 2013 |
| Author: | Sumeet Dua, U Rajendra Acharya, Prerna Dua |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Hardback |
| Pagination: | 332 pages |
| Series: | Intelligent Systems Reference Library |
| Genres: |
Artificial intelligence |
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.
Machine Learning in Healthcare Informatics features in the following genres: Artificial intelligence
Hardback. Not Available.
Machine Learning in Healthcare Informatics was written by Sumeet Dua, U Rajendra Acharya, Prerna Dua and published by Springer an imprint of Springer Berlin Heidelberg
Machine Learning in Healthcare Informatics has 332 pages
Yes it is part of Intelligent Systems Reference Library series