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Development of Ontology for the Representation of Adverse Drug Events of Diabetes Disease

by Nakhla Zina, Nouira Kaouther
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 42 - Number 20
Year of Publication: 2012
Authors: Nakhla Zina, Nouira Kaouther
10.5120/5815-8123

Nakhla Zina, Nouira Kaouther . Development of Ontology for the Representation of Adverse Drug Events of Diabetes Disease. International Journal of Computer Applications. 42, 20 ( March 2012), 10-16. DOI=10.5120/5815-8123

@article{ 10.5120/5815-8123,
author = { Nakhla Zina, Nouira Kaouther },
title = { Development of Ontology for the Representation of Adverse Drug Events of Diabetes Disease },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 42 },
number = { 20 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 10-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume42/number20/5815-8123/ },
doi = { 10.5120/5815-8123 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:31:48.874883+05:30
%A Nakhla Zina
%A Nouira Kaouther
%T Development of Ontology for the Representation of Adverse Drug Events of Diabetes Disease
%J International Journal of Computer Applications
%@ 0975-8887
%V 42
%N 20
%P 10-16
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

One of the main problems arising in the field of the health is the Adverse Drug Event (ADE). The computer system which aimed to prevent the ADE lacks the ADE knowledge standardization. So the background ADE knowledge is needed. This study presents ADE ontology of diabetes disease which includes the terms relative to the diabetes ADE. Our goal is to organize and structure the information relative to this type of problem, to facilitate the extraction of information used in the computer systems of detect and prevent the ADE specific for diabetes disease.

References
  1. Jamoussi, S. , Kammoun, H. , Souissi, S. , Nagati, K. , Abid, A. , Chabchoub, S. 2000. Direct cost of diabetes in tunisia. Diabetes Research and Clinical Practice. Volume 50 (1), 191.
  2. Jaya, A. 2011. A standard methodology for the construction of symptoms ontology for diabetes diagnosis. International Journal of Computer Applications. Volume 14(1)( January 2011), 47–51.
  3. American Diabetes Association. Economic costs of diabetes in the u. s. in 2007. Diabetes Care, 2008.
  4. Bourigault, D. , Aussenac-Gilles, N. , Charlet, J. 2004. Construction de ressources terminologiques ou ontologiques a partir de textes : un cadre unificateur pour trois études de cas. Revue d'Intelligence Artificielle. Volume 18(1), 87-110.
  5. Ehsani, J. P. , Jackson, T. , Duckett, S. J. 2006. The incidence and cost of adverse events in victorian hospitals. Med J Aust. Volume 184(11) (June 2006), 551-555.
  6. Florea, A. , Caughey, S. S. , Westland, J. , Berckmans, M. , Kennelly, C. , Beach, C. , Dyer, A. , Forster, A. J. , Oppenheimer, L. W. 2010. The ottawa hospital quality incident notification system for capturing adverse events in obstetrics. J Obstet Gynaecol Can. Volume 32(7) (July 2010), 657-62.
  7. FridmanNoy, R. , Fergerson, W. , Musen, A. M. 2000. The knowledge model of protg-2000: combining interoperability and exibility. Lecture Notes in Computer Science. Volume 1937 (2000), p. 69-82.
  8. Gruber, T. R. 1993. A translation approach to portable ontologies specification. Knowledge Acquisition. Volume 5 (2) (June 1993), 199-220.
  9. Handler, S. M. , Altman, R. L. , Perera, S. , Hanlon, J. T. , Studenski, S. A. , Bost, J. E. , Saul, M. I. , Fridsma, D. B. 2007. A systematic review of the performance characteristics of clinical event monitor signals used to detect adverse drug events in the hospital setting. Journal of the American Medical Informatics Association. Volume 14(4) (July 2007), 451-158.
  10. Sagaram, D. , Kamadjeu, R. , Fontelo, P. , Kohl, K. , Payne, D. , Tolentino, H. D. , Liu, F. 2005. Creating a vaccine adverse event ontology for public health. AMIA. (2005), 978.
  11. Cantais, J. , Gigante, V. , Dominguez, D. 2005. An example of food ontology for diabetes control. Proceedings of the International Semantic Web Conference 2005 workshop on Ontology Patterns for the Semantic Web.
  12. Kohn, L. T. , Corrigan, J. , Donaldson, M. S. 2000. To err is human: building a safer health system. National Academy Press, Washington. Volume 21(6), 453-454.
  13. Nebeker, J. R. , Barach, P. , Samore, M. H . 2004. Clarifying adverse drug events: A clinician's guide to terminology, documentation , and reporting. Ann Intern Med. Volume 140(10), 795-801.
  14. Burgun, A. , Bodenreider, O. , Smith, B. 2004. The ontology-epistemology divide: A case study in medical terminology. Proceedings of the Third International Conference on Formal Ontology in Information Systems (FOIS 2004). 185-195.
  15. Mokkarala, P. , Johnson, T. R. , Patel, V. L. , Zhang, J. , Turley, J. P. , Brixey, J. 2008. Development of a comprehensive medical error ontology. Advances in Patient Safety: New Directions and Alternative Approaches. Volumes 1-4 (July 2008).
  16. Stearns, M. Q. , Price, C. , Spackman, K. A. , Wang, A. Y. 2001. Snomed clinical terms. Proceedings of the AMIA Symposium. (2001), 662-666.
  17. Kim, H. J. , Jeong, S. 2006. Ontology based adverse event reporting system architecture. World library And information congress: 72nd ifla general conference and council. Volume 12(2006), 17-20.
  18. Stetson, P. D. , McKnight, L. K. , Bakken, S. , Curran, C. , Kubose, T. T. , Cimino, J. J. 2001. Development of an ontology to model medical errors, information needs, and the clinical communication space. J Am Med Inform Assoc. Volume 9(6 Suppl 1) (Nov-Dec 2002), 86–91.
  19. Studer, R. , Benjamins, R. V. , Fensel, D. 1998. Knowledge enginerinng: principales and methods. Data Knowl. Eng. Volume 25(1-2)(1998), 161-197.
  20. Verbeke, M. , Schrans, D. , Deroose, S. , Maeseneer, J. D. 2006. The international classification of primary care (icpc-2):an essential tool in the epr of the gp. Stud Health Technol Inform. Volume 124 (2006), 809-814.
  21. Moor, G. D. , Devlies, J. , Ceusters, W. , Capolupo, M. 2008. Introducing realist ontology for the representation of adverse events. Proceedings of the 2008 conference on Formal Ontology in Information Systems: Proceedings of the Fifth International Conference.
  22. Who,I. 1993. Manual of the international statistical classification of diseases, injuries and causes of death, 1993. World health organisation.
  23. Sarntivijai, S. , Toldo, L. , Ceusters, W. , He, Y. , Xiang, Z. 2011. Aeo: A realism-based biomedical ontology for the representation of adverse events. ICBO: International Conference on Biomedical Ontology. 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Ontology Adverse Drug Event Diabetes

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