TY  - JOUR
T1  - A Multiagent System for Dynamic Data Aggregation in Medical Research
A1  - Dubovitskaya, Alevtina
A1  - Urovi, Visara
A1  - Barba, Imanol
A1  - Aberer, Karl
A1  - Schumacher, Michael
ED  - Paz, Juan F. De
JA  - BioMed Research International
Y1  - 2016
VL  - 2016
SN  - 2314-6133
UR  - https://www.hindawi.com/journals/bmri/2016/9027457/
M2  - doi: 10.1155/2016/9027457
N2  - 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.
ER  -