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Medical data integration - an algebraic approach

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Języki publikacji
EN
Abstrakty
EN
It would be difficult to find a knowledge domain in which data integration is as important as in medicine, being interested in human health and life. Firstly, medical data integration enables acquiring all the information, stored anywhere, about a patient who needs an urgent medical intervention. Secondly, thanks to the integration, we can obtain an aggregate data comprising all known, similar medical cases. In fact, the aggregate data is a source of medical knowledge and a base for formulating conclusions about hypothetical diagnoses, and methods of treating the disorder diagnosed. In the paper, it is shown that a uniform, theoretical approach for the both kinds of data integration: horizontal and vertical, respectively, is possible. It is an algebraic approach, joined together with the use of taxonomy of medical and related concepts. Having the algebra of the concepts, we can as well check the permissibility of data integrating (by means of the subsumption relation, defined on the set of all concepts), as describe the semantics of this process (by means of the usual algebraic operations of sum and intersection).
Rocznik
Tom
Strony
241--247
Opis fizyczny
Bibliogr. 12 poz., rys., tab.
Twórcy
  • Poznań University of Technology, Institute of Control and Information Engineering, 60-965 Poznan, Pl. M.Sklodowskiej-Curie 5
Bibliografia
  • [1] ANJUM A. et al., The Requirements for Ontologies in Medical Data Integration: A Case Study, in: Proc. 11th Int. Database Engineering and Applications Symposium (IDEAS 2007), pp.308-314, IEEE Computer Society, Canada, 2007.
  • [2] BERLANGA R., Medical Data Integration and the Semantic Annotation of Medical Protocols, in: Proc. 21st IEEE Int. Symposium on Computer-Based Medical Systems, pp.644-649, IEEE Computer Society, 2008.
  • [3] Disease Ontology, http://diseaseontology.sourceforge.net/, 2007.
  • [4] EHR Standards, http://www.openehr.org/standards/iso.html, 2005.
  • [5] Extensible Markup Language (XML), http://www.w3.org/XML/, 2004.
  • [6] HL7 Standard, http://www.interfaceware.com/manual/hl7.html, 2007.
  • [7] JANKOWSKA B.M., Specificity and Methods of Medical Data Integration, Polish Journal of Environmental Studies, vol.17, no 2A, pp. 24-28, Olsztyn, 2008.
  • [8] JANKOWSKA B., SZYMKOWIAK M., How to Acquire and Structuralize Knowledge for Medical Rule-Based Systems?, in: Studies in Computational Intelligence, vol.102, pp.99-116, Springer Berlin/Heidelberg, 2008.
  • [9] Otwarty standard wymiany komunikatów NFZ (NHF Open Standard of Message Exchange), http://www.nfz.gov.pl/new/index.php?katnr=0&dzialnr=15&artnr=2347, 2007.
  • [10] PANKOWSKI T., XML Data Integration in SIXP2P: A Theoretical Framework, in: ACM International Conference Series, vol.261, pp.11-18, ACM, NY, 2008.
  • [11] ROTH M. et al., XML mapping technology: Making connections in an XML-centric world, in: IBM Systems Journal, vol.45, no 2, pp.389-410, 2006.
  • [12] SNOMED Clinical Terms. Users Guide, http://www.ihtsdo.org/fileadmin/user_upload/Docs_01/Technical_Docs/snomed_ct_user_guide.pdf, 2007.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0006-0034
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