Optimization and Data Analysis in Biomedical Informatics

✍ Scribed by Peter A. DiMaggio Jr., Ashwin Subramani (auth.), Panos M. Pardalos, Thomas F. Coleman, Petros Xanthopoulos (eds.)

Publisher: Springer-Verlag New York
Year: 2012
Tongue: English
Leaves: 200
Series: Fields Institute Communications 63
Edition: 1
Category: Library

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✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-viii
Novel Biclustering Methods for Re-ordering Data Matrices....Pages 1-39
Clustering Time Series Data with Distance Matrices....Pages 41-66
Mathematical Models of Supervised Learning and Application to Medical Diagnosis....Pages 67-81
Predictive Model for Early Detection of Mild Cognitive Impairment and Alzheimer’s Disease....Pages 83-97
Strategies for Bias Reduction in Estimation of Marginal Means with Data Missing at Random....Pages 99-115
Cardiovascular Informatics: A Perspective on Promises and Challenges of IVUS Data Analysis....Pages 117-130
An Introduction to the Analysis of Functional Magnetic Resonance Imaging Data....Pages 131-151
Sensory Neuroprostheses: From Signal Processing and Coding to Neural Plasticity in the Central Nervous System....Pages 153-169
EEG Based Biomarker Identification Using Graph-Theoretic Concepts: Case Study in Alcoholism....Pages 171-189
Maximal Connectivity and Constraints in the Human Brain....Pages 191-198

✦ Subjects

Optimization; Data Mining and Knowledge Discovery; Health Informatics; Biochemical Engineering

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