Computational Intelligence in Medical Informatics

Review of Computational Intelligence for Gene-Gene and Gene-Environment Interactions in Disease Mapping.- Intelligent Approaches to Mining the Primary Research Literature: Techniques, Systems, and Examples.- Intuitionistic Fuzzy Set: Application to Medical Image Segmentation.- Decomposable Aggregability in Population Genetics and Evolutionary Computations: Algorithms and Computational Complexity.- Evolutionary Learning of Neural Structures for Visuo-Motor Control.- Dimension reduction for performing discriminant analysis for microarrays.- Auxiliary tool for the identification of genetic coding sequences in eukaryotic organisms.- Language engineering and information theoretic methods in protein sequence similarity studies.- Gene Expression Imputation Techniques for Robust Post Genomic Knowledge Discovery.- Computational Modelling Strategies for Gene Regulatory Network Reconstruction.- Integration of Brain-Gene Ontology and Simulation Systems for Learning, Modelling and Discovery.- Efficiency and Scalability Issues in Metric Access Methods.- Computational Modelling of the Biomechanics of Epithelial and Mesenchymal Cell Interactions During Morphological Development.- Artificial Chemistry and Molecular Darwinian Evolution of DNA/RNA-Like Systems I - Typogenetics and Chemostat.- Artificial Chemistry and Molecular Darwinian Evolution of DNA/RNA-Like Systems II - Programmable folding.

Dr. Ajith Abraham is Director of the Machine Intelligence Research (MIR) Labs, a global network of research laboratories with headquarters near Seattle, WA, USA. He is an author/co-author of more than 750 scientific publications. He is founding Chair of the International Conference of Computational Aspects of Social Networks (CASoN), Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (since 2008), and a Distinguished Lecturer of the IEEE Computer Society representing Europe (since 2011).