This paper presents a model of a MAS framework for dynamic aggregation of population health data for research purposes. The contribution of the paper is twofold: First, it describes a MAS architecture that allows one to built on the fly anonymized databases from the distributed sources of data. Second, it shows how to improve the utility of the data with the growth of the database.
Title
An agent framework for dynamic health data aggregation for research purposes
Date
2015-05
Published in
Proceedings of the 9th Workshop on Agents Applied in Health Care (A2HC), held in conjuntion with the International Conference on Autonomous Agents & Multiagent Systems (AAMAS) 2015
Publisher
Istanbul, Turkey, 4-5 May 2015
Pagination
7 p.
Presented at
9th Workshop on Agents Applied in Health Care (A2HC), held in conjuntion with the International Conference on Autonomous Agents & Multiagent Systems (AAMAS), Istanbul, Turkey, 04/05/2015 / 05/05/2015
Paper type
full paper
Faculty
Economie et Services
School
HEG-VS
Institute
Institut Informatique de gestion