INTERNATIONAL JOURNAL OF APPLIED SCIENCES AND MATHEMATICAL THEORY (IJASMT )
E- ISSN 2489-009X
P- ISSN 2695-1908
VOL. 8 NO. 4 2022
DOI: 10.56201/ijasmt.v8.no4.2022.pg91.101
Duru Rosetta Okwuchi., Agbakwuru A. Onyekachi., Amanze Bethran C., Agbasonu V. Chinedum
The research addressed the problems, by having a hybrid of ontologies and virtual data integration in order to enhance medical intelligence process. A hybrid model for enhance medical intelligence process using ontology based and virtual data integration technique were developed. The design provided for a database system for storing medical records, software for enhanced Medical Intelligence Process that would be more user-friendly, flexible, adaptive, intelligent, agile and automatic in integrating and analyzing medical data thereby helping medical practitioners at various levels to make realistic intelligent and real-time decision on critical health issues. Object Oriented Analysis and Design Methodology (OOADM) were adopted in the design of the system. The system achieved integration of various patients medical records from different hospitals using ontology based and virtual data integration technique that will allow clinic data of one patient collected together to form a Combinational resource, and could be accessed by physician if authority is assigned to the physician
Patients, Medical Records, OOADM, Hospitals
Rosse, C. ,Mejino,J.L.V. (2013) A reference ontology for biomedical informatics: the
Foundational Model of AnatomyJ Biomed Inform, 36 (2003), pp. 478-500 Article
Download PDFView Record in Scopus Google Scholar
Ouwens, M. ,Wollersheim, H. , Hermens, R. , Hulscher, M. , Grol,R. (2015) Integrated care
programmes for chronically ill patients: a review of systematic reviews. Int J Qual
Health-Care, 17 (2) (2005), pp. 141-146
Bianchi,S. et al., (2019) “Biomedical data integration - capturing similarities while preserving
disparities,” Conf. Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med.
Biol. Soc. Annu. Conf., vol. 2019, pp. 4654–4657, 2019.
Heldt,T. and Verghese, G. C. (2010) “Model-based data integration in clinical environments,”
Conf. Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Helena,
V.& Lidia, R. (2009) “Ontology-based Data Warehouse Development Process”
Proceedings of
the ITI 2009 31st Int. Conf. on Information Technology Interfaces, June 2225, 2009, Cavtat,
Croatia, retrieved on June, 2021.
Vipul, K., Kei-Hoi, C., Donald, D., Matthias, S., Scott, M., Joanne, L., Susie, S., Ivan, H. and
Raymond, H. (2008) “Chapter 5 An Application Of Ontology-Based Data Integration
For Biomedical Research” retrieved on May, 2016
Virginija, U.& Rimantas, B. (2011) “Ontology-based Foundations for Data Integration”
BUSTECH 2011: The First International Conference on Business Intelligence and
Technology Copyright (c) IARIA, 2011. ISBN: 978-1-61208-160-1 retrieved on
October, 2014
Bostjan, G., Vili, P. (2014) Automating ontology based information integration using service
orientation. Faculty of electrical engineering and computer science University of Maribor
Smetanova ulica 17, 2014 Maribor SLOVENIA
Letizia, T. C. (2016) “An Ontology-Based Data Integration System: Solving Semantic
Inconsistencies” Relatore: Letizia Tanca Correlatore: Ing. Carlo Curino Tesi di Laurea
di: Giorgio ORSI matr. 674222 Anno Accademico 2015-2016, retrieved on October,
2020
Longbing, C., Chengqi, Z., & Jiming, L., (2015) “Ontology-Based Integration of Business
Intelligence” Retrieved from www.w639.pdf/ on Dec.5, 2017
Hema, M. S. & Chandramathi, S., (2013) “Quality Aware Service Oriented Ontology Based Data
Integration” WSEAS Transactions on Computers E-ISSN: 2224-2872 Issue 12, Volume
12, December 2013, retrieved on November, 2015