Skip to main content
SpringerLink
Log in
Book cover

Optimization and Data Analysis in Biomedical Informatics

  • Book
  • © 2012

Overview

Editors:
  1. Panos M. Pardalos

    1. , Department of Industrial & Systems Engin, University of Florida, Gainesville, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Thomas F. Coleman

    1. , Department of Mathematics, University of Waterloo, Waterloo, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Petros Xanthopoulos

    1. , Department of Industrial Engineering, University of Central Florida, Orlando, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • 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?

Part of the book series: Fields Institute Communications (FIC, volume 63)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (10 chapters)

  1. Front Matter

    Pages i-viii
    Download chapter PDF

  2. Novel Biclustering Methods for Re-ordering Data Matrices

    • Peter A. DiMaggio Jr., Ashwin Subramani, Christodoulos A. Floudas
    Pages 1-39

  3. Clustering Time Series Data with Distance Matrices

    • Onur Şeref, W. Art Chaovalitwongse
    Pages 41-66

  4. Mathematical Models of Supervised Learning and Application to Medical Diagnosis

    • Roberta De Asmundis, Mario Rosario Guarracino
    Pages 67-81

  5. Predictive Model for Early Detection of Mild Cognitive Impairment and Alzheimer’s Disease

    • Eva K. Lee, Tsung-Lin Wu, Felicia Goldstein, Allan Levey
    Pages 83-97

  6. Strategies for Bias Reduction in Estimation of Marginal Means with Data Missing at Random

    • Baojiang Chen, Richard J. Cook
    Pages 99-115

  7. Cardiovascular Informatics: A Perspective on Promises and Challenges of IVUS Data Analysis

    • Ioannis A. Kakadiaris, E. Gerardo Mendizabal Ruiz
    Pages 117-130

  8. An Introduction to the Analysis of Functional Magnetic Resonance Imaging Data

    • Gianluca Gazzola, Chun-An Chou, Myong K. Jeong, W. Art Chaovalitwongse
    Pages 131-151

  9. Sensory Neuroprostheses: From Signal Processing and Coding to Neural Plasticity in the Central Nervous System

    • Fivos Panetsos, Abel Sanchez-Jimenez, Celia Herrera-Rincon
    Pages 153-169

  10. EEG Based Biomarker Identification Using Graph-Theoretic Concepts: Case Study in Alcoholism

    • Vangelis Sakkalis, Konstantinos Marias
    Pages 171-189

  11. Maximal Connectivity and Constraints in the Human Brain

    • Roman V. Belavkin
    Pages 191-198
Back to top

Keywords

About this book

​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

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)

Editors and Affiliations

  • , Department of Industrial & Systems Engin, University of Florida, Gainesville, USA

    Panos M. Pardalos

  • , Department of Mathematics, University of Waterloo, Waterloo, Canada

    Thomas F. Coleman

  • , Department of Industrial Engineering, University of Central Florida, Orlando, USA

    Petros Xanthopoulos

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation