Optimization and Data Analysis in Biomedical Informatics
Samenvatting
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.
Specificaties
Inhoudsopgave
Matrices (P.A. DiMaggio Jr., A. Subramani, C.A. Floudas).- Clustering Time
Series Data with Distance Matrices (O. Şeref, 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 Alzheimer’s 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).