A Multiagent System for Dynamic Data Aggregation in Medical Research. (16th November 2016)

• Record Type: Journal Article
• Authors: Dubovitskaya, Alevtina; Urovi, Visara; Barba, Imanol; Aberer, Karl; Schumacher, Michael Ignaz
• Other Names: De Paz Juan F. Academic Editor.
• Is Part Of: BioMed research international. Volume 2016(2016)
• Publication Date: 2016-11-16
• Subjects: Medicine -- Periodicals; Biology -- Periodicals; Biotechnology -- Periodicals; Life sciences -- Periodicals; 610.5
• DOI: 10.1155/2016/9027457
• Languages: English
• ISSNs: 2314-6133

Abstract

Abstract : The collection of medical data for research purposes is a challenging and long-lasting process. In an effort to accelerate and facilitate this process we propose a new framework for dynamic aggregation of medical data from distributed sources. We use agent-based coordination between medical and research institutions. Our system employs principles of peer-to-peer network organization and coordination models to search over already constructed distributed databases and to identify the potential contributors when a new database has to be built. Our framework takes into account both the requirements of a research study and current data availability. This leads to better definition of database characteristics such as schema, content, and privacy parameters. We show that this approach enables a more efficient way to collect data for medical research.