Computational Intelligence in Medical Informatics

✍ Scribed by Arpad Kelemen, Yulan Liang (auth.), Arpad Kelemen, Ajith Abraham, Yulan Liang (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2008
• Tongue: English
• Leaves: 388
• Series: Studies in Computational Intelligence 85
• Edition: 1
• Category: Library

✦ Synopsis

Medical Informatics (MI) is an emerging interdisciplinary science that deals with clinical health-related information, its structure, acquisition and use. MI is grounded in the principles of computer science, computational intelligence, as well as the clinical and basic sciences. This book deals with the application of computational intelligence in medical informatics. Addressing the various issues of medical informatics using different computational intelligence approaches is the novelty of this edited volume. This volume comprises of 15 chapters' including an introductory chapter giving the fundamental definitions and some important research challenges.

Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.

✦ Table of Contents

Front Matter....Pages I-XV
Review of Computational Intelligence for Gene-Gene and Gene-Environment Interactions in Disease Mapping....Pages 1-16
Intelligent Approaches to Mining the Primary Research Literature: Techniques, Systems, and Examples....Pages 17-50
Intuitionistic Fuzzy Set: Application to Medical Image Segmentation....Pages 51-68
Decomposable Aggregability in Population Genetics and Evolutionary Computations: Algorithms and Computational Complexity....Pages 69-92
Evolutionary Learning of Neural Structures for Visuo-Motor Control....Pages 93-115
Dimension reduction for performing discriminant analysis for microarrays....Pages 117-131
Auxiliary tool for the identification of genetic coding sequences in eukaryotic organisms....Pages 133-150
Language engineering and information theoretic methods in protein sequence similarity studies....Pages 151-183
Gene Expression Imputation Techniques for Robust Post Genomic Knowledge Discovery....Pages 185-206
Computational Modelling Strategies for Gene Regulatory Network Reconstruction....Pages 207-220
Integration of Brain-Gene Ontology and Simulation Systems for Learning, Modelling and Discovery....Pages 221-234
Efficiency and Scalability Issues in Metric Access Methods....Pages 235-263
Computational Modelling of the Biomechanics of Epithelial and Mesenchymal Cell Interactions During Morphological Development....Pages 265-294
Artificial Chemistry and Molecular Darwinian Evolution of DNA/RNA-Like Systems I - Typogenetics and Chemostat....Pages 295-336
Artificial Chemistry and Molecular Darwinian Evolution of DNA/RNA-Like Systems II — Programmable folding....Pages 337-373
Back Matter....Pages 375-379

✦ Subjects

Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics); Bioinformatics