A Multiagent System for Dynamic Data Aggregation in Medical Research

Alevtina Dubovitskaya*, Visara Urovi, Imanol Barba, Karl Aberer, Michael Ignaz Schumacher

*Corresponding author for this work

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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.
Original languageEnglish
Article number9027457
JournalBioMed Research International
Publication statusPublished - 2016

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