Editors:
- Demonstrates how new data mining methodologies are successfully applied in real-life biomedical practice, which makes it attractive to both researchers and practitioners
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 7)
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Table of contents (28 chapters)
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Front Matter
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Recent Methodological Developments for Data Mining Problems in Biomedicine
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Front Matter
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Data Mining Techniques in Disease Diagnosis
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Front Matter
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Data Mining Studies in Genomics and Proteomics
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Front Matter
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Reviews
From the reviews:
"This book is an in-depth look at ‘the development of appropriate methods for extracting useful information’ from data in biomedicine. … is aimed at scientists and practitioners in the fields of biomedicine, engineering, mathematics, and computer science as well as graduate students and is appropriate for a variety of readers. … A well compiled volume on the application of data mining to biomedicine, this book will be a welcome addition to the literature." (Nicole Mitchell, Doody’s Review Service, August, 2008)
Editors and Affiliations
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University of Florida, Gainesville
Panos M. Pardalos
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Florida State University, Tallahassee
Vladimir L. Boginski
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Dash Optimization, Englewood Cliffs
Alkis Vazacopoulos
Bibliographic Information
Book Title: Data Mining in Biomedicine
Editors: Panos M. Pardalos, Vladimir L. Boginski, Alkis Vazacopoulos
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-0-387-69319-4
Publisher: Springer New York, NY
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer-Verlag US 2007
Hardcover ISBN: 978-0-387-69318-7Published: 15 March 2007
Softcover ISBN: 978-1-4419-4343-9Published: 19 November 2010
eBook ISBN: 978-0-387-69319-4Published: 10 December 2008
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XVII, 582
Topics: Biomedicine general, Applications of Mathematics, Operations Research, Management Science, Biomedical Engineering and Bioengineering, Statistics for Life Sciences, Medicine, Health Sciences