JOURNAL ARTICLE

ONTOLOGY-DRIVEN INFORMATION RETRIEVAL FOR HEALTHCARE INFORMATION SYSTEM : A CASE STUDY

Aidarus M. IbrahimHashi, Hussein A.Abdullalem A. Mohamed

Year: 2013 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

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.

Keywords:
Volume (thermodynamics) Process (computing) Information system Data retrieval Health care Adversarial information retrieval Health information

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Topics

Electronic Health Records Systems
Health Sciences →  Health Professions →  Health Information Management
Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Biomedical Text Mining and Ontologies
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology

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