EBOOK Database Technology For Life Sciences And Medicine

This book presents innovative approaches from database researchers supporting the challenging process of knowledge discovery in biomedicine. Ranging from how to effectively store and organize biomedical data via data quality and case studies to sophisticated data mining methods, this book provides the state-of-the-art of database technology for life sciences and medicine.A valuable source of information for experts in life sciences who want to be updated about the possibilities of database technology in their field, this volume will also be inspiring for students and researchers in informatics who are keen to contribute to this emerging field of interdisciplinary research.Sample Chapter(s)Chapter 1: Biomedical Databases and Data Mining (378 KB)Contents: Biomedical Databases and Data MiningDYNASTAT: AMethodology for Modeling of Multiagent SystemsSciPort: An Extensible Data Management Platform for Biomedical ResearchAn Integrative Framework for Anonymizing Clinical and Genomic DataData Integration Challenges: A Systems Biology PerpsectiveOntology-Based Data Integration: A Case Study in Clinical TrialsA Data Warehouse for Ca. Glomeribacter Gigasporarum BacteriumQuality of Medical Data: A Case StudyEfficient EMD-Based Similarity Search in Medical Image DatabasesFast Multimedia Querying for Medical ApplicationsEnsemble Feature Selection in Biomedical ApplicationsAnalysis of Breast Cancer Geonomic Data by Fuzzy Association Rule MiningGraph Mining on Brain Co-Activation NetworksAutomatic Identification of Surgery IndicatorsIncremental Learning of Medical Data for Multi-Step Patient Health ClassificationReadership: Professionals, researchers and academics in databases, artificial intelligence, bioinformatics and pattern recognition.