ISSN: 0974 - 9330 (Online); 0975 - 2307 (Print)
http://airccse.org/journal/ijnsa.html
ONTOLOGY-DRIVEN INFORMATION RETRIEVAL FOR HEALTHCARE INFORMATION SYSTEM : A CASE STUDY
Aidarus M. Ibrahim1 and Hussein A. Hashi2 Abdullalem A. Mohamed2
1Faculty of Computer Science and Information system, University Technology Malaysia (UTM), Malaysia
2Faculty of Computer Science and Information system, University Technology Malaysia (UTM), Malaysia
2Faculty of Computer Science and Information system, University Technology Malaysia (UTM), Malaysia
Abstract
In health research, one of the major tasks is to retrieve, and analyze heterogeneous databases containing one single patient’s information gathered from a large volume of data over a long period of time. The main objective of this paper is to represent our ontology-based information retrieval approach for clinical Information System. We have performed a Case Study in the real life hospital settings. The results obtained illustrate the feasibility of the proposed approach which significantly improved the information retrieval process on a large volume of data over a long period of time from August 2011 until January 2012.
Original Source URL: http://airccse.org/journal/nsa/0113nsa05.pdf
Volume Link: http://airccse.org/journal/jnsa13_current.html
http://airccse.org/journal/ijnsa.html
ONTOLOGY-DRIVEN INFORMATION RETRIEVAL FOR HEALTHCARE INFORMATION SYSTEM : A CASE STUDY
Aidarus M. Ibrahim1 and Hussein A. Hashi2 Abdullalem A. Mohamed2
1Faculty of Computer Science and Information system, University Technology Malaysia (UTM), Malaysia
2Faculty of Computer Science and Information system, University Technology Malaysia (UTM), Malaysia
2Faculty of Computer Science and Information system, University Technology Malaysia (UTM), Malaysia
Abstract
In health research, one of the major tasks is to retrieve, and analyze heterogeneous databases containing one single patient’s information gathered from a large volume of data over a long period of time. The main objective of this paper is to represent our ontology-based information retrieval approach for clinical Information System. We have performed a Case Study in the real life hospital settings. The results obtained illustrate the feasibility of the proposed approach which significantly improved the information retrieval process on a large volume of data over a long period of time from August 2011 until January 2012.
Original Source URL: http://airccse.org/journal/nsa/0113nsa05.pdf
Volume Link: http://airccse.org/journal/jnsa13_current.html
No comments:
Post a Comment