A Multiagent System for Dynamic Data Aggregation in Medical Research
| Art der Publikation: | Artikel |
| Zitat: | |
| Zeitschrift: | BioMed Research International |
| Band: | 2016 |
| Jahr: | 2016 |
| ISSN: | 2314-6133 |
| URL: | https://www.hindawi.com/journa... |
| DOI: | 10.1155/2016/9027457 |
| Abriss: | 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. |
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| Autoren | |
| Herausgeber | |
| Hinzugefügt von: | [] |
| Gesamtbewertung: | 0 |
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