Optimization and Data Analysis in Biomedical Informatics [electronic resource] / edited by Panos M. Pardalos, Thomas F. Coleman, Petros Xanthopoulos.

Preface -- Novel Biclustering Methods for Re-Ordering Data Matrices (P.A. DiMaggio Jr., A. Subramani, C.A. Floudas) -- Clustering Time Series Data with Distance Matrices (O. ʤeref, W.A. Chaovalitwongse) -- Mathematical Models of Supervised Learning and Application to Medical Diagnosis (R. De Asmundis, M.R. Guarracino) -- Predictive Model for Early Detection of Mild Cognitive Impairment and Alzheimers Disease (E.K. Lee, T.-L. Wu, F. Goldstein, A. Levey) -- Strategies for Bias Reduction in Estimation of Marginal Means with Data Missing at Random (B. Chen, R.J. Cook) -- Cardiovascular Informatics: A Perspective on Promises and Challenges of IVUS Data Analysis (I.A. Kakadiaris, E.G.M. Ruiz) -- An Introduction to the Analysis of Functional Magnetic Resonance Imaging Data (G. Gazzola, C.-A. Chou, M.K. Jeong, W.A. Chaovalitwongse) -- Sensory Neuroprostheses: From Signal Processing and Coding to Neural Plasticity in the Central Nervous System (F. Panetsos, A. Sanchez-Jimenez, C. Herrera-Rincon) -- EEG Based Biomarker Identification Using Graph-Theoretic Concepts: Case Study in Alcoholism (V. Sakkalis, K. Marias) -- Maximal Connectivity and Constraints in the Human Brain (R.V. Belavkin).

This volume covers some of the topics that are related to the rapidly growing field of biomedical informatics. In June 1112, 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 weresolicited from 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 andemphasizing 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.

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