Main Article Content
Objective: The study sought to extracts information about the steps, methods, techniques, initiatives and strategies that is use in establishing ontology in the medical sector.
Methods: The guideline that was employed for conducting the systematic review in this research work is that which was proposed by Kitchenham. The Google Scholar, Scopus and Web of science were searched for proceedings from conferences and journal papers between 2009 and 2018. Articles focusing on health care and ontology, health ontology and diagnosis system were selected. The AND operator was used in the Boolean language construction for the article search to limit articles presented to those that actually apply Ontology in the Health care. Selected articles were considered eligible based on their studies appropriately fitting into providing answers for the research questions that were presented in this research work within the last 10 years.
Results: Twenty (20) research articles were included in the review; of the initiatives of the research works considered, Seven (7) were of Methodology, Two (2) were Technique based, Three (3) were Framework based, Two (2) were Process based while Six (6) were extensions of those in existence.
Conclusions: The approaches considered were ontology based in terms of the use of Protégé-owl editor tool, SPARQL, Protégé 4, OWL 2, OWL, RDF, SNOMED CT. The main contributions include but not limited to Modelling of knowledge representation using Protégé for relating data and concepts with references to diabetes diseases, mobile based health care ontology, classification of diseases based on phenotypes, improvement in service delivery and availability of reliable health data. This Ontology heath care review which was carried out shows the need for Ontology based models to improve health service delivery for both the users (patients) and the care providers.
Taye MM. Understanding semantic web and ontologies: Theory and Applications. J. of Computing. NY, USA. 2010;2(6).
Kapoor, Bhaskar, Savita, Sharma. A comparative study ontology building tools for semantic web applications. International Journal of Web & Semantic Technology. 2010;1.
Mihoubi H, Simonet A, Simonet M. An ontology driven approach to ontology translation. In Proceedings of DEXA. 2000; 573-582.
Dou D, McDermott D, Qi P. Ontology translation on the semantic web. Presented at on Data Semantics Journal. 2005;3360:35–57.
Tidwell D. Web services-The web’s next revolution. IBM Web Service Tutorial; 2000.
Ianace P. The role big data, ontology and semantic search will play to improve healthcare. Information & Data Manager Magazine; 2015.
Kitchenham, Charters S. Guideline for performing systematic literature reviews in software engineering, Version 2.3. University of Keele (Software Engineering Group, School of Computer Science and Mathematics) and Durham (Department of Computer Science); 2007.
Kitchenham BA, Charters S. Guidelines for performing systematic literature reviews in software engineering, Technical Report EBSE-2007-01, School of Computer Science and Mathematics, Keele University; 2007.
Abburu Sunitha, Golla Suresh Babu Ontology-driven knowledge-based health-care system: An emerging area - challenges and opportunities. Indian scenario. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2014;40;8.
Angelique M. Ontology-based personalized system to support patients at home. Master thesis subimitted to the Department of Information and Communication Technology, Faculty of Engineering and Science, University of Agder; 2014.
Bertaud-Gounot V, Duvauferrier R, Burgun A. Ontology and medical diagnosis. Informatics for Health and Social Care. 2012;37(2):51-61.22.
Cameron JD. Ramaprasad A, Syn T. An ontology of mHealth, Proceedings of the 21st Americas Conference on Information Systems (AMCIS 2015), Puerto Rico, USA; 2015.
Dias D. Method for Improving Healthcare Management using Enterprise Ontology (Doctoral dissertation, Master Dissertation from Instituto Superior Técnico); 2012.
Dimitrieski V, Petrović G, Kovačević A, Luković I, Fujita H. A survey on ontologies and ontology alignment approaches in healthcare. In International Conference on Industrial, Engineering and Other Applica-tions of Applied Intelligent Systems. Springer, Cham. 2016;373-385.
Duncan J, Eilbeck K, Narus SP, Clyde S, Thornton S, Staes C. Building an ontology for identity resolution in healthcare and public health. Online Journal of Public Health Informatics. 2015;7(2).
Forbes D, Wongthongtham P, Singh J. Development of patient-practitioner assistive communications (PPAC) ontology for type 2 diabetes management. In proceedings of the workshop on new trends of computational intelligence in health applications. CEUR-WS. Org. 2012; 43-54.
Haendel MA, McMurry JA, Relevo R, Mungall CJ, Robinson PN, Chute CG. A census of disease ontologies. Annual Review of Biomedical Data Science. 2018; 1:305-331.
Ismail S, Alshmari M, Latif K, Ahmad HF. A granular ontology model for maternal and child health information system. Journal of Healthcare Engineering; 2017.
Macris A, Papakonstantinou D, Malamateniou F, Vassilacopoulos G. Using ontology-based knowledge networks for user training in managing healthcare processes. International Journal of Technology Management. 2009;47(1-3):5-21.
White P. A pilot ontology for a large, diverse set of National Health Service healthcare quality indicators (Doctoral dissertation, City University London); 2014.
Puri Colin A, Karthik Gomadam Prateek Jain, Peter Z, Yeh, Kunal Verma. Multiple ontologies in healthcare information technology: Motivations and recommenda-tion for ontology mapping and alignment. In 2nd International Conference on Biomedical Ontology ICBO, Buffalo, NY, USA; 2011.
Rahimi A, Liaw S, Ray P, Taggart J. Developing an ontology for data quality in chronic disease management. In 24th International Conference of the European Federation for Medical Informatics, Quality of Life through Quality of Information (MIE2012); 2012.
Ramadoss B. Ontology Driven Model for an Engineered Agile Healthcare System; 2014.
Riaño D, Real F, López-Vallverdú JA, Campana F, Ercolani S, Mecocci P, Caltagirone C. An ontology-based personalization of health-care knowledge to support clinical decisions for chronically ill patients. Journal of Biomedical Informatics. 2012;45(3):429-446.
Tris CR. Ontology-based diagnosis and personalization of medical knowledge; Universitat Rovira i Virgili: Tarragona, Spain; 2009.
Traoré MK. (Ontology for healthcare systems modeling and simulation. In Proceedings of the 50th Computer Simulation Conference. Society for Computer Simulation International.2018;5.
Vyas N, Pal PR. E-Healthcare decision support system based on ontology learning: A Conceptual Model. Interna-tional Journal of Computer Applications. 2012;0975–8887.
White P, Roudsari AV. An ontology for healthcare quality indicators: Challenges for semantic interoperability. In Medical Informatics Europe. 2015;414-418.