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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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Sidhu, Amandeep S. (Editor), Dillon, Tharam S. (Editor)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Series:Studies in Computational Intelligence, 224
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-02193-0
Table of Contents:
  • Part A: 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 Tansplantation
  • Substructure Analysis of Metabolic Pathways by Graph-based Relational Learning
  • Part B: 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 in Ab Initio Protein Structure Prediction using Low Resolution Model: A Review.