An Agent Framework for Dynamic Health Data Aggregation for Research Purposes

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.


Presented at:
A2HC: Agents Applied in Health Care workshop held in conj. with AAMAS 2015, Istanbul, Turkey, May 5, 2015
Year:
2015
Keywords:
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 Record created 2016-11-10, last modified 2018-09-13

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