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Computational Intelligence in Medical Informatics

  • Book
  • © 2008

Overview

Editors:
  1. Arpad Kelemen

    1. Buffalo Neuroimaging Analysis Center The Jacobs Neurological Institute University at Buffalo, The State University of New York, Buffalo, USA

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  2. Ajith Abraham

    1. Centre for Quantifiable Quality of Service in Communication Systems (Q2S) Centre of Excellence, Norwegian University of Science and Technology, Trondheim, Norway

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  3. Yulan Liang

    1. Biostatistics Dept. University at Buffalo, The State University of New York, Buffalo, USA

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  • Reports recent research results on computational intelligence in medical informatics
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 85)

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Table of contents (15 chapters)

  1. Front Matter

    Pages I-XV
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  2. Review of Computational Intelligence for Gene-Gene and Gene-Environment Interactions in Disease Mapping

    • Arpad Kelemen, Yulan Liang, Athanasios Vasilakos
    Pages 1-16

  3. Intelligent Approaches to Mining the Primary Research Literature: Techniques, Systems, and Examples

    • Gully A. P. C. Burns, Donghui Feng, Eduard Hovy
    Pages 17-50

  4. Intuitionistic Fuzzy Set: Application to Medical Image Segmentation

    • Tamalika Chaira, Tridib Chaira
    Pages 51-68

  5. Decomposable Aggregability in Population Genetics and Evolutionary Computations: Algorithms and Computational Complexity

    • Vladik Kreinovich, Max Shpak
    Pages 69-92

  6. Evolutionary Learning of Neural Structures for Visuo-Motor Control

    • Nils T. Siebel, Gerald Sommer, Yohannes Kassahun
    Pages 93-115

  7. Dimension reduction for performing discriminant analysis for microarrays

    • Sang Hee Lee, A. K. Singh, Laxmi P. Gewali
    Pages 117-131

  8. Auxiliary tool for the identification of genetic coding sequences in eukaryotic organisms

    • Vincenzo De Roberto Jr, Nelson F. F. Ebecken, Elias Restum Antonio
    Pages 133-150

  9. Language engineering and information theoretic methods in protein sequence similarity studies

    • A. Bogan-Marta, A. Hategan, I. Pitas
    Pages 151-183

  10. Gene Expression Imputation Techniques for Robust Post Genomic Knowledge Discovery

    • Muhammad Shoaib Sehgal, Iqbal Gondal, Laurence Dooley
    Pages 185-206

  11. Computational Modelling Strategies for Gene Regulatory Network Reconstruction

    • Muhammad Shoaib Sehgal, Iqbal Gondal, Laurence Dooley
    Pages 207-220

  12. Integration of Brain-Gene Ontology and Simulation Systems for Learning, Modelling and Discovery

    • Nik Kasabov, Vishal Jain, Lubica Benuskova, Paulo C. M. Gottgtroy, Frances Joseph
    Pages 221-234

  13. Efficiency and Scalability Issues in Metric Access Methods

    • Vlastislav Dohnal, Claudio Gennaro, Pavel Zezula
    Pages 235-263

  14. Computational Modelling of the Biomechanics of Epithelial and Mesenchymal Cell Interactions During Morphological Development

    • Jiří Kroc
    Pages 265-294

  15. Artificial Chemistry and Molecular Darwinian Evolution of DNA/RNA-Like Systems I - Typogenetics and Chemostat

    • Marian Bobrik, Vladimir Kvasnicka, Jiri Pospichal
    Pages 295-336

  16. Artificial Chemistry and Molecular Darwinian Evolution of DNA/RNA-Like Systems II — Programmable folding

    • Marian Bobrik, Vladimir Kvasnicka, Jiri Pospichal
    Pages 337-373

  17. Back Matter

    Pages 375-379
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Keywords

About this book

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.

Editors and Affiliations

  • Buffalo Neuroimaging Analysis Center The Jacobs Neurological Institute University at Buffalo, The State University of New York, Buffalo, USA

    Arpad Kelemen

  • Centre for Quantifiable Quality of Service in Communication Systems (Q2S) Centre of Excellence, Norwegian University of Science and Technology, Trondheim, Norway

    Ajith Abraham

  • Biostatistics Dept. University at Buffalo, The State University of New York, Buffalo, USA

    Yulan Liang

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