PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Ontology represents explicit specification of knowledge in a specific domain of interest in the form of concepts and relations among them. This paper presents a medical ontology describing the domain of heart failure (HF). Construction of ontology for a domain like HF is recognized as an important step in systematization of existing medical knowledge. The main virtue of ontology is that the represented knowledge is both computer and human-readable. The current development of the HF ontology is one of the main results of the EU Heartfaid project. The ontology has been implemented using Ontology Web Language and Protégé editing tool. It consists of roughly 200 classes, 100 relations and 2000 instances. The ontology is a precise, voluminous, portable, and upgradable representation of the HF domain. It is also a useful framework for building knowledge based systems in the HF domain, as well as for unambiguous communication between professionals. In the process of developing the HF ontology there have been significant technical and medical dilemmas. The current result should not be treated as the ultimate solution but as a starting point that will stimulate further research and development activities that can be very relevant for both intelligent computer systems and precise communication of medical knowledge.
Rocznik
Strony
101--110
Opis fizyczny
Bibliogr. 38 poz.
Twórcy
autor
  • Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia
autor
  • Rudjer Boskovic Institute, Bijenicka 54, 10000 Zagreb, Croatia
autor
  • Institute for Cardiovascular Diseases and Rehabilitation, Draskoviceva 13, 10000 Zagreb, Croatia
Bibliografia
  • 1. de Clercq A., Blom J. A., Korsten H. M., Hasman A.: Approaches for creating computer-interpretable guidelines that facilitate decision support. Artif. Intell. Med. 2003, 31(1): 1-27.
  • 2. Negnevitsky M.: Artificial Intelligence: A Guide to Intelligent Systems. 2nd ed. Addison Wesley, Harlow 2005.
  • 3. Pisanelli D. M., editor: Ontologies in Medicine. IOS Press, Amsterdam 2004.
  • 4. Barnett G. O., Cimino J. J., Hupp J. A., Hoffer E. P.: DXplain. An evolving diagnostic decision-support system. JAMA 1987, 258(1): 67-74.
  • 5. Edwards G., Compton P., Malor R., Srinivasan A., Lazarus L.: PEIRS: a pathologist maintained expert system for the interpretation of chemical pathology reports. Pathology 1993, 25: 27-34.
  • 6. Tierney W. M., Overhage J. M., Takesue B. Y., Harris L. E., Murray M. D., Vargo D. L., et al.: Computerizing guidelines to improve care and patient outcomes: the example of heart failure. J. Am. Med. Inform. Assoc. 1995, 2(5): 316-322.
  • 7. Charest M., Delisle S.: Ontology-guided intelligent data mining assistance: Combining declarative and procedural knowledge. Proc. of Artificial Intelligence and Soft Computing 2006: 9-14.
  • 8. Eccher C., Purin B., Pisanelli D. M., Battaglia M., Apolloni I., Forti S.: Ontologies supporting continuity of care: The case of heart failure. Comput. Biol. Med. 2006, 36: 789-801.
  • 9. Serban R., ten Teije A., van Harmelen F., Marcos M., Polo-Conde C.: Extraction and Use of Linguistic Patterns for Modelling Medical Guidelines. Artif. Intell. Med. 2007, 39(2): 137-149.
  • 10. Bradley J. H., Paul R., Seeman E.: Analyzing the structure of expert knowledge. Information and Management 2006, 43: 77-91.
  • 11. Chi M. T. H., Feltovich P. J., Glaser R.: Categorization and representation of physics problems by experts and novices. Cogn. Sci. 1981, 5: 121-152.
  • 12. Spackman K. A.: SNOMED-CT milestones: endorsements are added to already-impressive standards credentials, Healthc Inform. 2004, 21: 54-56.
  • 13. Rosse C., Mejino J. L. V.: A reference ontology for bioinformatics: the foundational model of anatomy. J. Biomed. Inform. 2003, 36: 478-500.
  • 14. Na J. C., Neoh H. L.: Effectivenes of UMLS semantic network as a seed ontology for building a medical domain ontology. Aslib. Proceedings 2008, 60: 32-46.
  • 15. Kumar A., Lina Y., Smith B., Grenon P.: Bridging the gap between medical and bioinformatics: An ontology case study in colon carcinoma. Comput. Biol. Med. 2006, 36: 694-711.
  • 16. Smith B. (eds): International Conference on biomedical ontology. 2009 July 24-26, Buffalo, USA, 2009.
  • 17. The Open Biomedical Ontologies: OBO Foundry candidate ontologies. http://www.obofoundry.org/.
  • 18. Yan A. T., Yan, R. T., Liu P. P.: Pharmacotherapy for Chronic Heart Failure: Evidence from Recent Clinical Trials. Ann. Intern. Med. 2005, 142(2): 132-145.
  • 19. Dickstein K., Cohen-Solal A., Gerasimos F., McMurray J. J. V., Ponikowski P., Poole-Wilson P. A., et al.: ESC guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur. Heart J. 2008, 29(1): 2388-2442.
  • 20. Esposito M.: Congenital Heart Disease: An Ontology-Based Approach for the Examination of the Cardiovascular System. Lecture Notes in Computer Science 2008, 5177: 509-516.
  • 21. Chiarugi F., Colantonio S., Emmanouilidou D., Martinelli M., Moroni D., Salvetti O.: Decision support in heart failure through processing of electro- and echocardiograms. Artif. Intell. Med. 50(2), 95-104, 2010.
  • 22. Conforti D., Constanzo D., Perticone F., Parati G., Kawecka-Jaszcz K., Marsh A., et al.: HEARTFAID. A knowledge based platform for supporting the clinical management of elderly patients with heart failure. Journal on Information Technology in Healthcare 2006, 11: 46-51.
  • 23. Nieminen M. S., Bohm M., Cowie M. R., Drexler H., Filippatos G. S., Jondeau G., et al.: Executive summary of the guidelines on the diagnosis and treatment of acute heart failure: the Task Force on Acute Heart Failure of the European Society of Cardiology. Eur. Heart J. 2005, 26: 384-416.
  • 24. Swedberg K., Cleland J., Dargie H., Drexler H., Follath F., Komajda M., et al.: Guidelines for the diagnosis and treatment of chronic heart failure: executive summary (update 2005): The Task Force for the Diagnosis and Treatment of Chronic Heart Failure of the European Society of Cardiology. Eur. Heart J. 2005, 26: 1115-1140.
  • 25. Remme W. J., Swedberg K.: Guidelines for the diagnosis and treatment of chronic heart failure. Eur. Heart J. 2001, 22: 1527-1560.
  • 26. Cleland J. G., Swedberg K., Follath F., Komajda M., Cohen-Solal A., Aguilar J. C., et al.: The EuroHeart Failure survey programme – a survey on the quality of care among patients with heart failure in Europe. Part 1: patient characteristics and diagnosis. Eur. Heart J. 2003, 24: 442-463.
  • 27. Unified Medical Language System. http://www.nlm.nih.gov/research/umls/.
  • 28. Diseases and Conditions - MayoClinic. http://www.mayoclinic.com/health/DiseasesIndex/DiseasesIndex.
  • 29. OpenClinical: knowledge management technologies for healthcare. http://www.openclinical.org/.
  • 30. Web ontology Language OWL / W3C Semantic Web Activity. http://www.w3.org/2004/OWL/.
  • 31. Noy N. F., Sintek M., Decker S., Crubezy M., Fergerson R. W., Musen M. A.: Creating Semantic Web Contents with Protégé-2000. IEEE Intelligent Systems 2001, 16(2): 60-71.
  • 32. SWRL: A Semantic Web Rule Language Combining OWL and RuleML. http://www.w3.org/Submission/SWRL/.
  • 33. Shadbolt N., Berners-Lee T., Hall W.: The Semantic Web Revisited. IEEE Intelligent Systems 2006, 21(3): 96-101.
  • 34. Pellet: The open source OWL reasoner. http://clarkparsia.com/pellet/.
  • 35. Protégé-OWL API. http://protege.stanford.edu/plugins/owl/api/.
  • 36. Ohno-Machado L., Gennari J. H., Murphy S. N., Jain N. L., et al.: The GuideLine Interchange Format. J. Am. Med. Inform. Assoc. 1998, 5: 357-372.
  • 37. Kao D. P., Pavlovic A., Fowler M. B., Das A. K.: Taking Historical Inventories in Nonischemic Heart Failure - Etiologies and Risk Factors Trial (THIN-HEART) - The Heart Failure Origin Organization Task (HOOT). Proc. of Summit on Translational Bioinformatics, San Francisco, CA 2008, poster.
  • 38. Prcela M., Gamberger D., Jovic A.: Semantic Web Ontology Utilization for Heart Failure Expert System Design. Proc. of MIE2008 Int. Congress of the European Federation for Medical Informatics 2008, pp. 851-856.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6e4ef882-9bde-4d2d-bf8e-7c17dc28a377
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.