"Data Mining in Medical and Biological Research" ed. by Eugenia G. Giannopoulou

This book intends to bring together the most recent advances and applications of data mining research in the promising areas of medicine and biology from around the world.

The book consists chapters, related to medical research and five focused on the biological domain, which describe interesting applications, motivating progress and worthwhile results.

Contents
Data Mining in Medical Research
1 Discovery of the Latent Supportive Relevance in Medical Data Mining
2 Intelligent Decision Support System for Classification of Eeg Signals using Wavelet Coefficients
3 Data Mining for DNA Viruses with Breast Cancer and its Limitation
4 Building Ontology from Knowledge Base Systems
5 Building Clinical Trust in Automated Knowledge Acquisition
6 Radiology Data Mining Applications using Imaging Informatics
7 Application of Data Mining and Text Mining to the Analysis of Medical near Miss Cases
8 Interactive Knowledge Discovery for Temporal Lobe Epilepsy
9 Monitoring Human Resources of a Public Health-Care System through Intelligent Data Analysis and Visualization
10 Data and Mined-Knowledge Interoperability in eHealth Systems
11 A Scalable Healthcare Integrated Platform (SHIP) and Key Technologies for Daily Application
12 A Mobile Device Based ECG Analysis System
Data Mining in Biological Research
13 A New Definition and Look at DNA Motif
14 Data Mining Applications in the Post-Genomic Era
15 Topological Analysis of Cellular Networks
16 Biomedical Literature Mining for Biological Databases Annotation
17 Social Data Mining to Improve Bioinspired Intelligent Systems

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