Data Mining in Biomedicine (Hardcover, 2007 ed.)

This volume presents an extensive collection of chapters covering various aspects of the exciting and important research area of data mining techniques in biomedicine. The topics include: - new approaches for the analysis of biomedical data, - applications of data mining techniques to real-life problems in medical practice, - comprehensive reviews of recent trends in the field. The book addresses the problems arising in fundamental areas of biomedical research, such as genomics, proteomics, protein characterization, and neuroscience. This volume would be of interest to scientists and practitioners working in the field of biomedicine, as well as related areas of engineering, mathematics, and computer science. It can also be helpful to graduate students and young researchers looking for new exciting directions in their work. Since each chapter can be read independently, readers interested in specific problems and applications may find the material of certain chapters useful.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Optimization and Its Applications, 7
Release date:	March 2007
First published:	March 2007
Editors:	Panos M. Pardalos • Vladimir L Boginski • Alkis Vazacopoulos
Dimensions:	235 x 155 x 33mm (L x W x T)
Format:	Hardcover
Pages:	582
Edition:	2007 ed.
ISBN-13:	978-0-387-69318-7
Categories:	Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Computing & IT > Applications of computing > Databases > Data capture & analysis Promotions
LSN:	0-387-69318-1
Barcode:	9780387693187

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