Overview
- Includes cutting-edge methods and protocols
- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
- Includes supplementary material: sn.pub/extras
Part of the book series: Methods in Molecular Biology (MIMB, volume 1246)
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Table of contents (16 chapters)
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Back Matter
Keywords
About this book
This volume complies a set of Data Mining techniques and new applications in real biomedical scenarios. Chapters focus on innovative data mining techniques, biomedical datasets and streams analysis, and real applications. Written in the highly successful Methods in Molecular Biology series format, chapters are thought to show to Medical Doctors and Engineers the new trends and techniques that are being applied to Clinical Medicine with the arrival of new Information and Communication technologies
Authoritative and practical, Data Mining in Clinical Medicine seeks to aid scientists with new approaches and trends in the field.
Editors and Affiliations
Bibliographic Information
Book Title: Data Mining in Clinical Medicine
Editors: Carlos Fernández-Llatas, Juan Miguel García-Gómez
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-4939-1985-7
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media New York 2015
Hardcover ISBN: 978-1-4939-1984-0Published: 24 November 2014
Softcover ISBN: 978-1-4939-5474-2Published: 22 September 2016
eBook ISBN: 978-1-4939-1985-7Published: 22 November 2014
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: XII, 270
Number of Illustrations: 10 b/w illustrations, 82 illustrations in colour
Topics: Bioinformatics