Biomedical Data and Applications
Compared with data from general application domains, modern biological data has many unique characteristics. Biological data are often characterized as having large volumes, complex structures, high dimensionality, evolving biological concepts, and insufficient data modelling practices. Over the pas...
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| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2009.
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| Series: | Studies in Computational Intelligence,
224 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Current Trends in Biomedical Data and Applications
- Current Trends in Biomedical Data and Applications
- I: Biomedical Data
- Towards Bioinformatics Resourceomes
- A Summary of Genomic Databases: Overview and Discussion
- Protein Data Integration Problem
- Multimedia Medical Databases
- Bio-medical Ontologies Maintenance and Change Management
- Extraction of Constraints from Biological Data
- Classifying Patterns in Bioinformatics Databases by Using Alpha-Beta Associative Memories
- Mining Clinical, Immunological, and Genetic Data of Solid Organ Transplantation
- Substructure Analysis of Metabolic Pathways by Graph-Based Relational Learning
- II: Biomedical Applications
- Design of an Online Physician-Mediated Personal Health Record System
- Completing the Total Wellbeing Puzzle Using a Multi-agent System
- The Minimal Model of Glucose Disappearance in Type I Diabetes
- Genetic Algorithm inAb Initio Protein Structure Prediction Using Low Resolution Model: A Review.
