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dc.contributor.authorDubovitskaya, Alevtina
dc.contributor.authorUrovi, Visara
dc.contributor.authorBarba Sabariego, Imanol-Mikel
dc.contributor.authorAberer, Karl
dc.contributor.authorSchumacher, Michael Ignaz
dc.identifier.citationDubovitskaya, A., Urovi, Visara, Barba, I., Aberer, K., Schumacher, Michael Ignaz. A multiagent system for dynamic data aggregation in medical research. "Biomed Research International", 18 Octubre 2016, vol. 2016, p. 1-13.
dc.description.abstractThe 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.
dc.format.extent13 p.
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.subject.lcshMedicine--Data processing.
dc.titleA multiagent system for dynamic data aggregation in medical research
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
local.citation.authorDubovitskaya, A.; Urovi, Visara; Barba, I.; Aberer, K.; Schumacher, Michael Ignaz
local.citation.publicationNameBiomed Research International

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