Data Mining in Biomedicine
(Sprache: Englisch)
This volume presents an extensive collection of contributions covering aspects of the exciting and important research field of data mining techniques in biomedicine. Coverage includes new approaches for the analysis of biomedical data; applications of data...
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Klappentext zu „Data Mining in Biomedicine “
This volume presents an extensive collection of contributions covering aspects of the exciting and important research field of data mining techniques in biomedicine. Coverage includes 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 incorporation of data mining in fundamental areas of biomedical research: genomics, proteomics, protein characterization, and neuroscience.
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.
- 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.
Inhaltsverzeichnis zu „Data Mining in Biomedicine “
- Preface- List of Contributors
Part I. Recent Methodological Developments for Data Mining Problems in Biomedicine
Part II. Data Mining Techniques in Disease Diagnosis
Part III. Data Mining Studies in Genomics and Proteomics
Part IV. Characterization and Prediction of Protein Structure
Part V. Applications of Data Mining Techniques to Brain Dynamics Studies
- Index
Bibliographische Angaben
- 2007, XVII, 582 Seiten, Masse: 16 x 24,1 cm, Gebunden, Englisch
- Herausgegeben: Panos M Pardalos, Vladimir L. Boginski, Alkis Vazacopoulos
- Verlag: Springer, Berlin
- ISBN-10: 0387693181
- ISBN-13: 9780387693187
- Erscheinungsdatum: 15.03.2007
Sprache:
Englisch
Rezension zu „Data Mining in Biomedicine “
From the reviews:
Pressezitat
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)
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