A Multiagent System for Dynamic Data Aggregation in Medical Research
Publicatietype: | Artikel |
Citatie: | |
Tijdschrift: | BioMed Research International |
Deel: | 2016 |
Jaar: | 2016 |
ISSN: | 2314-6133 |
URL: | https://www.hindawi.com/journa... |
DOI: | 10.1155/2016/9027457 |
Samenvatting: | 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. |
Trefwoorden: | |
Auteurs | |
Redacteurs | |
Toegevoegd door: | [] |
Totaalscore: | 0 |
Bestanden
|
|
Aantekeningen
|
|
|
|
Onderwerpen
|
|
|