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Título:
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A multiagent system for dynamic data aggregation in medical research
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Autor/a:
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Dubovitskaya, Alevtina; Urovi, Visara; Barba Sabariego, Imanol-Mikel; Aberer, Karl; Schumacher, Michael Ignaz
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Abstract:
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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. |
Abstract:
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Peer Reviewed |
Materia(s):
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-Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica -Medicine--Data processing. -Medicina--Informàtica |
Derechos:
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Tipo de documento:
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Artículo - Versión publicada Artículo |
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