Optimization and Data Analysis in Biomedical Informatics
Editors: Pardalos, Panos, Coleman, Thomas F., Xanthopoulos, Petros (Eds.)
Free Preview- Provides mathematical methods and cutting edge bioinformatics challenges that are of interest to researchers who want to pursue interdisciplinary studies
- Balances between theory and application, making it suitable for theoreticians and practitioners
- Presents work from the top contributors throughout the world, providing a global perspective of the field
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- About this book
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This volume covers some of the topics that are related to the rapidly growing field of biomedical informatics. In June 11-12, 2010 a workshop entitled ‘Optimization and Data Analysis in Biomedical Informatics’ was organized at The Fields Institute. Following this event invited contributions were gathered based on the talks presented at the workshop, and additional invited chapters were chosen from world’s leading experts. In this publication, the authors share their expertise in the form of state-of-the-art research and review chapters, bringing together researchers from different disciplines and emphasizing the value of mathematical methods in the areas of clinical sciences. This work is targeted to applied mathematicians, computer scientists, industrial engineers, and clinical scientists who are interested in exploring emerging and fascinating interdisciplinary topics of research. It is designed to further stimulate and enhance fruitful collaborations between scientists from different disciplines.
- Reviews
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From the reviews:
“This collection of chapters in the field of bioinformatics focuses on quantitative analysis. A number of examples accompany the methodology, so readers can easily understand how to apply the methods to solve problems. … this book provides a comprehensive introduction to the quantitative analysis of biomedical data. It is a great handbook for beginners entering the field of bioinformatics.” (Hsun-Hsien Chang, ACM Computing Reviews, January, 2013)
- Table of contents (10 chapters)
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Novel Biclustering Methods for Re-ordering Data Matrices
Pages 1-39
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Clustering Time Series Data with Distance Matrices
Pages 41-66
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Mathematical Models of Supervised Learning and Application to Medical Diagnosis
Pages 67-81
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Predictive Model for Early Detection of Mild Cognitive Impairment and Alzheimer’s Disease
Pages 83-97
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Strategies for Bias Reduction in Estimation of Marginal Means with Data Missing at Random
Pages 99-115
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Table of contents (10 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Optimization and Data Analysis in Biomedical Informatics
- Editors
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- Panos Pardalos
- Thomas F. Coleman
- Petros Xanthopoulos
- Series Title
- Fields Institute Communications
- Series Volume
- 63
- Copyright
- 2012
- Publisher
- Springer-Verlag New York
- Copyright Holder
- Springer Science+Business Media New York
- eBook ISBN
- 978-1-4614-4133-5
- DOI
- 10.1007/978-1-4614-4133-5
- Hardcover ISBN
- 978-1-4614-4132-8
- Softcover ISBN
- 978-1-4899-9966-5
- Series ISSN
- 1069-5265
- Edition Number
- 1
- Number of Pages
- VIII, 200
- Topics
