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Original Articles

A two-staged approach to developing and evaluating an ontology for delivering personalized education to diabetic patients

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References

  • International Diabetes Federation Diabetes Atlas, 6th ed. [Internet]. International Diabetes Federation; 2013 [cited 2016 Dec 2]. http://www.idf.org/diabetesatlas/download-book.
  • Diabetes UK – Care. Connect. Campaign. [Internet]. Diabetes UK; 2016 [cited 2016 Dec 2]. http://www.diabetes.org.uk/.
  • American Diabetes Association. [Internet]. American Diabetes Association; 2016 [cited 2016 Dec 2]. http://www.diabetes.org.
  • McDowell J, Brown F, Matthews D, editors. Diabetes A handbook for the primary healthcare team. 2nd ed.. Edinburgh: Churchill Livingstone; 2007.
  • Al Sayah F, Williams B. An integrated model of health literacy using diabetes as an exemplar. Can J Diabetes. 2012;36:27–31. doi:10.1016/j.jcjd.2011.08.001.
  • Clark M. Diabetes self-management education: A review of published studies. Prim Care Diabetes. 2008;2:113–20. doi:10.1016/j.pcd.2008.04.004.
  • Coppola A, Sasso L, Bagnasco A, Giustina A, Gazzaruso C. The role of patient education in the prevention and management of type 2 diabetes: an overview. Endocrine. 2016;53:18–27. doi:10.1007/s12020-015-0775-7.
  • Lawton J, Rankin D. How do structured education programmes work? an ethnographic investigation of the dose adjustment for normal eating (DAFNE) programme for type 1 diabetes patients in the UK. Soc Sci Med. 2010;71:486–93. doi:10.1016/j.socscimed.2010.04.030.
  • Managing Older People With Type 2 Diabetes [Internet]. International Diabetes Federation; 2013 [cited 2016 Dec 2]. http://www.idf.org/guidelines/managing-older-people-type-2-diabetes.
  • Catherine HY, Parsons JA, Hall S, Newton D, Jovicic A, Lottridge D, Shah BR, Straus SE. User-centered design of a web-based self-management site for individuals with type 2 diabetes-providing a sense of control and community. BMC Med Inform Decis Mak. 2014;14:60. doi:10.1186/1472-6947-14-60.
  • Quinn S, Bond R, Nugent C An ontology based approach to the provision of personalized patient education. 6th International Work-Conference on Ambient Assisted Living and Daily Activities, Belfast, UK; 2014. p. 67.
  • A practical guide to building OWL ontologies using Protégé 4 and CO-ODE tools edition edition 1.3. [Internet]. Horridge M; 2011 [cited 2016 Dec 2]. http://mowl-power.cs.man.ac.uk/protegeowltutorial/resources/ProtegeOWLTutorialP4_v1_3.pdf.
  • Uschold M, Gruninger M. Ontologies: principles, methods and applications. Knowl Eng Rev. 1996;11:93–136. doi:10.1017/S0269888900007797.
  • Ye J, Coyle L, Dobson S, Nixon P. Ontology-based models in pervasive computing systems. Knowl Eng Rev. 2007;22:315–47. doi:10.1017/S0269888907001208.
  • Zhou L. Ontology learning: state of the art and open issues. Inf Technol Manag. 2007;8:241–52. doi:10.1007/s10799-007-0019-5.
  • Konopka BM. Biomedical ontologies—A review. Biocybernetics Biomed Eng. 2015;35:75–86. doi:10.1016/j.bbe.2014.06.002.
  • Arwan A, Priyambadha B, Sarno R, Sidiq M, Kristianto H Ontology and semantic matching for diabetic food recommendations. 2013 International Conference on Information Technology and Electrical Engineering (ICITEE), Yogyakarta, Indonesia; 2013. p. 170.
  • Chen R, Huang Y, Bau C, Chen S. A recommendation system based on domain ontology and SWRL for anti-diabetic drugs selection. Expert Syst Appl. 2012;39:3995–4006. doi:10.1016/j.eswa.2011.09.061.
  • Chammas N, Juric R, Koay N, Gurupur V, Suh SC Towards a software tool for raising awareness of diabetic foot in diabetic patients. 2013 46th Hawaii International Conference on System Sciences, Wailea, Maui, HI, USA; 2013. p. 2646.
  • Rahimi A, Liaw S, Taggart J, Ray P, Yu H. Validating an ontology-based algorithm to identify patients with type 2 diabetes mellitus in electronic health records. Int J Med Inf. 2014;83:768–78. doi:10.1016/j.ijmedinf.2014.06.002.
  • Alharbi RF, Berri J, El-Masri S Ontology based clinical decision support system for diabetes diagnostic. 2015 Science and Information Conference (SAI), London, UK; 2015. p. 597.
  • Pinto HS, Martins JP. Ontologies: how can they be built? Knowl Inf Syst. 2004;6:441–64. doi:10.1007/s10115-003-0138-1.
  • Hoehndorf R, Dumontier M, Gkoutos GV. Evaluation of research in biomedical ontologies. Brief Bioinform. 2013;14:696–712. doi:10.1093/bib/bbs053.
  • Brank J, Grobelnik M, Mladenic D A survey of ontology evaluation techniques. Proceedings of the conference on data mining and data warehouses (SiKDD 2005), Ljubljana, Slovenia; 2005. p. 166.
  • Delir Haghighi P, Burstein F, Zaslavsky A, Arbon P. Development and evaluation of ontology for intelligent decision support in medical emergency management for mass gatherings. Decis Support Syst. 2013;54:1192–204. doi:10.1016/j.dss.2012.11.013.
  • Bright TJ, Yoko Furuya E, Kuperman GJ, Cimino JJ, Bakken S. Development and evaluation of an ontology for guiding appropriate antibiotic prescribing. J Biomed Inform. 2012;45:120–28. doi:10.1016/j.jbi.2011.10.001.
  • Gordon CL, Weng C. Combining expert knowledge and knowledge automatically acquired from electronic data sources for continued ontology evaluation and improvement. J Biomed Inform. 2015;57:42–52. doi:10.1016/j.jbi.2015.07.014.
  • Isern D, Sánchez D, Moreno A. Ontology-driven execution of clinical guidelines. Comput Methods Programs Biomed. 2012;107:122–39. doi:10.1016/j.cmpb.2011.06.006.
  • Valls A, Gibert K, Sánchez D, Batet M. Using ontologies for structuring organizational knowledge in home care assistance. Int J Med Inf. 2010;79:370–87. doi:10.1016/j.ijmedinf.2010.01.012.
  • NHS Choices. Your health, your choices. [Internet]. Department of Health; 2016 [cited 2016 Dec 2]. http://www.nhs.uk/pages/home.aspx.
  • https://www.surveymonkey.com/s/WMZ527D.
  • MedlinePlus. Trusted information for you. [Internet]. U.S. National Library of Medicine; 2016 [cited 2016 Dec 2]. http://www.nlm.nih.gov/medlineplus/.
  • HON. [Internet]. Health On the Net Foundation; 2016 [cited 2016 Dec 2].https://www.healthonnet.org/.
  • Compendium of Physical Activities. [Internet]. Arizona State University; 2016 [cited 2016 Dec 2]. https://sites.google.com/site/compendiumofphysicalactivities/.
  • Hossain M Users’ motivation to participate in online crowdsourcing platforms. 2012 International Conference on Innovation Management and Technology Research, Malacca, Malaysia; 2012. p. 310.
  • Duncan I, Birkmeyer C, Coughlin S, Li QE, Sherr D, Boren S. Assessing the value of diabetes education. Diabetes Educ. 2009;35:752–60. doi:10.1177/0145721709343609.
  • Yu AC. Methods in biomedical ontology. J Biomed Inform. 2006;39:252–66. doi:10.1016/j.jbi.2005.11.006.
  • Dramé K, Diallo G, Delva F, Dartigues JF, Mouillet E, Salamon R, Mougin F. Reuse of termino-ontological resources and text corpora for building a multilingual domain ontology: an application to Alzheimer’s disease. J Biomed Inform. 2014;48:171–82. doi:10.1016/j.jbi.2013.12.013.

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