Buch, Englisch, Band 6990, 209 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 346 g
Special Issue on Database Systems for Biomedical Applications
Buch, Englisch, Band 6990, 209 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 346 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-642-23739-3
Verlag: Springer
This special issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems highlights some of the major challenges emerging from the biomedical applications that are currently inspiring and promoting database research. These include the management, organization, and integration of massive amounts of heterogeneous data; the semantic gap between high-level research questions and low-level data; and privacy and efficiency. The contributions cover a large variety of biological and medical applications, including genome-wide association studies, epidemic research, and neuroscience.
Zielgruppe
Research
Fachgebiete
- Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
Weitere Infos & Material
A Database System for Electrophysiological.-Management of Genotyping-Related Documents by Integrated Use of Semantic Tagging.-MEDCollector: Multisource Epidemic Data Collector.-Supporting BioMedical Information Retrieval: The BioTracer Approach.-Electronic Health Record Data-as-a-Services Composition Based on Query Rewriting.-A Modular Database Architecture Enabled to Comparative Sequence Analysis.-[KD3] A Workflow-Based Application for Exploration of Biomedical Data Sets.-A Secured Collaborative Model for Data Integration in Life Sciences.-Flexible-ICA Algorithm for a Reliable Iris Recognition.