Overview
- Presents recent results connected to biomedical data and applications
Part of the book series: Studies in Computational Intelligence (SCI, volume 224)
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About this book
Compared with data from general application domains, modern biological data has many unique characteristics. Biological data are often characterized as having large volumes, complex structures, high dimensionality, evolving biological concepts, and insufficient data modelling practices. Over the past several years, bioinformatics has become an all-encompassing term for everything relating to both computer science and biology. The goal of this book is to cover data and applications identifying new issues and directions for future research in biomedical domain. The book will become a useful guide learning state-of-the-art development in biomedical data management, data-intensive bioinformatics systems, and other miscellaneous biological database applications. The book addresses various topics in bioinformatics with varying degrees of balance between biomedical data models and their real-world applications.
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Keywords
Table of contents (14 chapters)
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Current Trends in Biomedical Data and Applications
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Part I: Biomedical Data
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Part II: Biomedical Applications
Editors and Affiliations
Bibliographic Information
Book Title: Biomedical Data and Applications
Editors: Amandeep S. Sidhu, Tharam S. Dillon
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-02193-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Hardcover ISBN: 978-3-642-02192-3Published: 22 June 2009
Softcover ISBN: 978-3-642-10192-2Published: 28 October 2010
eBook ISBN: 978-3-642-02193-0Published: 09 July 2009
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 344
Topics: Mathematical and Computational Engineering, Biomedical Engineering and Bioengineering, Biomedicine general, Artificial Intelligence, Bioinformatics