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A Semantic Multi-Agent system to Exchange Information between Hospitals
- 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.
- Subjects :
- Cognitive models of information retrieval
Information retrieval
020205 medical informatics
Computer science
business.industry
Multi-agent system
Semantic search
02 engineering and technology
Ontology (information science)
computer.software_genre
01 natural sciences
Field (computer science)
010305 fluids & plasmas
Human–computer information retrieval
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Ontology
General Earth and Planetary Sciences
Data mining
business
computer
Information filtering system
General Environmental Science
Subjects
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