Overview
- Explains the latest cross-disciplinary research based on synergy of results that can be obtained with the different described approaches
- Demonstrates applications of data mining to the medical domain
- Includes case studies that illustrate imaging techniques
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Table of contents (9 chapters)
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Computational Medicine in Data Mining and Modeling
Editors: Goran Rakocevic, Tijana Djukic, Nenad Filipovic, Veljko Milutinović
DOI: https://doi.org/10.1007/978-1-4614-8785-2
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-8784-5Published: 17 October 2013
Softcover ISBN: 978-1-4939-4834-5Published: 23 August 2016
eBook ISBN: 978-1-4614-8785-2Published: 17 October 2013
Edition Number: 1
Number of Pages: X, 376
Number of Illustrations: 43 b/w illustrations, 128 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Computational Biology/Bioinformatics, Artificial Intelligence, Simulation and Modeling