Computational intelligence in medical informatics

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 wit...

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Detalles Bibliográficos
Outros autores: Kelemen, Arpad, 19..- (Directeur de la publication), Abraham, Ajith, 1968- (Directeur de la publication), Liang, Yulan, 19..- (Directeur de la publication)
Formato: Livre numérique
Idioma:Anglais
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edición:1st ed. 2008.
Series:Studies in Computational Intelligence 85
Acceso en liña:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Computational Intelligence in Medical Informatics, Texte imprimé, 9783540757665
• Computational Intelligence in Medical Informatics, Texte imprimé, 9783540845157
• Computational Intelligence in Medical Informatics, Texte imprimé, 9783540757665
• Computational Intelligence in Medical Informatics, Texte imprimé, 9783642428463
Table des matières:
  • 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