An integrative and interactive framework for improving biomedical pattern discovery and visualization.

An integrative and interactive framework for improving biomedical pattern discovery and visualization.

Recent progress in medical sciences has led to an explosive growth of data. Due to its inherent complexity and diversity, mining such volumes of data to extract relevant knowledge represents an enormous challenge and opportunity. Interactive pattern discovery and visualization systems for biomedical...

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Bibliographic Details
Published in:IEEE Transactions on information technology in biomedicine 8, 1 (2004).
Main Author: Haiying Wang
Format: Article
Language:English
Subjects:
Kohonen Maps.
Biomedical pattern discovery.
Cardiology data sets.
Clustering.
Data mining.
Dermatology data sets.
Graphical tools.
Integrative framework.
Interactive framework.
Knowledge extraction.
Pattern-validation statistical tools.
Self-adaptive neural networks.
Sleep apnea.
Statistical tools.
Supervised classification problems.
User-friendly platform.
Visualization.