A Multiagent System for Dynamic Data Aggregation in Medical Research

الملخص EN

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.