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A Semantic Multi-Agent system to Exchange Information between Hospitals

Authors :
Naseebah H. Alkahtani
Sarah Almohsen
Hebah Kurdi
Ghadah abdullah almalki
Safaa Samir Meshref
Nasibah Mohammed Alkahtani
Source :
ANT/SEIT
Publication Year :
2017
Publisher :
Elsevier BV, 2017.

Abstract

The amount of information in hospitals and the medical field is consistently increasing. Traditional information retrieval systems in hospitals are lacking, and the medical industry has been slow to adopt technology because it requires accurate and effective information. In order to achieve a solution, Statistics and Collaborative Knowledge Exchange (SCKE) is a multi-agent system that allows the retrieval and exchange of information between hospitals. The proposed system uses semantic search techniques to provide results that are more accurate. We examined the system accuracy, and the experiment results show a high accuracy rate, regardless of the number of queries.

Details

ISSN :
18770509
Volume :
109
Database :
OpenAIRE
Journal :
Procedia Computer Science
Accession number :
edsair.doi...........5104bd5877f2ef92ad2988fe67d0c3c1
Full Text :
https://doi.org/10.1016/j.procs.2017.05.381