Information, Technology in Bio- and Medical Informatics, ITBAM 2010

Biomedical engineering and medical informatics are challenging and rapidly growing areas. Applications of information technology in these areas are of paramount imp- tance. The aim of the first ITBAM conference was to bring together scientists, - searchers and practitioners from different disciplines (mathematics, bioinformatics, biology, medicine, biomedical engineering and computer science) having such c- mon interests. We hope that ITBAM conferences will provide opportunities for fru- ful discussions between all attendees and provide a platform where participants can exchange their most recent results, identify future directions and challenges, initiate possible collaborative research and system development, and develop common l- guages for solving problems in the realm of biomedical engineering, bioinformatics and medical informatics. The importance of computer-aided diagnosis and therapy has drawn more and more attention worldwide and laid the foundation for modern medicine with excellent potential for promising applications such as telemedicine, Web-based healthcare and analysis of genetic information. For this conference, after a peer-review process, we finally selected 13 long papers and 8 short papers that are now published in this volume. They are divided in to the following groups: workflow management and database; decision support and data management in biomedicine; medical data modelling and information retrieval; data mining in bioinformatics; knowledge representation and data management in bio- formatics; biological data and signal processing. The papers show how broad the spectrum of topics in applications of information technology to biomedical engine- ing and medical informatics is.

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Klappentext

This book constitutes the thoroughly refereed proceedings of the First International Conference on InformationTechnology in Bio- and Medical Informatics, held in Bilbao, Spain, in September 2010. The 14 selected long papers and 8 selected short papers are divided in the following groups:Workflow management and database; Decision support and data management in biomedicine; Medical data modelling and information retrieval; Data mining in bioinformatics; Knowledge representation and data management in bioinformatics; Biological data and signal processing.

Inhalt
Workflow Management and Database.- e-BioFlow: Improving Practical Use of Workflow Systems in Bioinformatics.- MEDCollector: Multisource Epidemic Data Collector.- Epidemic Marketplace: An Information Management System for Epidemiological Data.- Decision Support and Data Management in Biomedicine.- DCM Data Management Framework: A Data Warehousing Approach.- Automatic Classification of Intrapartal Fetal Heart-Rate Recordings Can It Compete with Experts?.- Clinical Informatics to Diagnose Cardiac Diseases Based on Data Mining.- Decision Support in Biomedicine (Short Papers).- The Case-Based Software System for Physician's Decision Support.- SASAgent: An Agent Based Architecture for Search, Retrieval and Composition of e-Science Models and Tools.- Clustering of Protein Substructures for Discovery of a Novel Class of Sequence-Structure Fragments.- A Comorbidity Network Approach to Predict Disease Risk.- Mining and Post-processing of Association Rules in the Atherosclerosis Risk Domain.- Medical Data Modeling and Information Retrieval.- Optimized Column-Oriented Model: A Storage and Search Efficient Representation of Medical Data.- A Semantic Query Interface for the OGO Platform.- BioMedical Information Retrieval: The BioTracer Approach.- Data Mining in Bioinformatics.- A Self-organizing State Space Approach to Inferring Time-Varying Causalities between Regulatory Proteins.- Knowledge Representation and Data Management in Bioinformatics.- Retrieving Samples from Biobanks.- Logical Knowledge Representation of Regulatory Relations in Biomedical Pathways.- Smooth Introduction of Semantic Tagging in Genotyping Procedures.- Biological Data and Signal Processing.- Laboratory Kit for Oscillometry Measurement of Blood Pressure.- Initial Analysis of the EEG Signal ProcessingMethods for Studying Correlations between Muscle and Brain Activity.- Highlighting the Current Issues with Pride Suggestions for Improving the Performance of Real Time Cardiac Health Monitoring.