Associating clinical archetypes through UMLS metathesaurus term clusters

Journal of Medical Systems

Volumn 36, Issue 3, 2012, Pages 1249-1258

  Lezcano, Leonardo ^a   Sánchez Alonso, Salvador ^a   Sicilia, Miguel Angel ^a  

^a UNIVERSITY OF ALCALÁ   (Spain)

Author keywords

Clinical archetypes; Graphs; UMLS

Indexed keywords

ARTICLE; CLINICAL DATA REPOSITORY; CLUSTER ANALYSIS; ELECTRONIC MEDICAL RECORD; HEALTH CARE; HUMAN; INFORMATION PROCESSING; LINGUISTICS; MATHEMATICAL MODEL; MEDICAL SOCIETY; NON PROFIT ORGANIZATION; SEMANTICS; UNIFIED MEDICAL LANGUAGE SYSTEM; WEB BROWSER;

ELECTRONIC HEALTH RECORDS; MEDICAL RECORDS SYSTEMS, COMPUTERIZED; SEMANTICS; UNIFIED MEDICAL LANGUAGE SYSTEM;

EID: 84864032675     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-010-9586-9     Document Type: Article

References (25)

1. Bertaud, V., Lasbleiz, J., Mougin, F., Burgun, A., and Duvauferrier, R., A unified representation of findings in clinical radiology using the UMLS and DICOM. Int. J. Med. Inform. 77(9):621-629, 2008.
2. Suebnukarn, S., Haddawy, P., and Rhienmora, P., A collaborative medical case authoring environment based on the UMLS. Journal of Biomedical Informatics 41(2):318-326, 2008. (Pubitemid 351324193)
3. Marquet, G., Mosser, J., and Burgun, A., A method exploiting syntactic patterns and the UMLS semantics for aligning biomedical ontologies: The case of OBO disease ontologies. Int. J. Med. Inform., 76(3):S353-S361, 2007. (Pubitemid 47633276)
4. Woods, J. W., Sneiderman, C. A., Hameed, K., Ackerman, M. J., and Hatton, C., Using UMLS metathesaurus concepts to describe medical images: Dermatology vocabulary. Comput. Biol. Med. 36(1):89-100, 2006. (Pubitemid 41735398)
5. Brennan, P. F., and Aronson, A. R., Towards linking patients and clinical information: DetectingUMLS concepts in e-mail. Journal of Biomedical Informatics 36(4-5):334-341, 2003. (Pubitemid 37476300)
6. Qamar, R., and Rector, A., Semantic mapping of clinical model data to biomedical terminologies to facilitate data interoperability. Presented at Healthcare Computing 2007 Conference, Harrogate, UK, 2007. Available: http://www.cs.man.ac.uk/-qamarr/papers/HealthcareComputing2007- Qamar.pdf. Accessed 9 August 2010.
7. Bisbal, J., and Berry, D., Archetype alignment-a two-level driven semantic matching approach to interoperability in the clinical domain. Presented at International Conference on Health Informatics (HEALTHINF 2009), Porto, Portugal, 2009.
8. Gresock, J. A., Finding combinatorial connections between concepts in the biomedical literature. M.S. thesis, Department of Computer Science, Faculty of the Virginia Polytechnic Institute and State University, Blacksburg, Virginia, U.S., 2007.
9. Stroetmann, V. N., Kalra, D., Lewalle, P., Rodrigues, J. M., Stroetmann, K. A., Surjan, G., Ustun, B., Virtanen, M., and Zanstra, P. E., Semantic interoperability for better health and safer healthcare. Project report, European Commission. Off ice for Of f icial Publications of the European Communities: Luxembourg, 2009.
10. Schloeffel, P., Beale, T., Hayworth, G., Heard, S., and Leslie, H., The relationship between CEN 13606, HL7, and openEHR. In: Proceedings of HIC 2006 Bridging the Digital Divide: Clinician, Consumer and Computer. Seattle, Washington, USA, 2006.
11. Michelsen, L., Pedersen, S. S., Tilma, H. B., and Andersen, S. K., Comparing different approaches to two-level modelling of electronic health records. Stud. Health Technol. Inform. 116:113-118, 2005.
12. Beale, T., Heard, S., Kalra, D., and Lloyd, D., The openEHR EHR information model, The openEHR Reference Model, The openEHR Foundation, rev. 5.1.0, 2007.
13. Beale, T., Archetypes, constraint-based domain models for future-proof information systems. In: Proceedings of the OOPSLA 2002 Conference. pp. 16-32. Boston, Seattle, Washington, USA, 2002.
14. Chen, R., and Klein, G., The openEHR Java reference implementation project. Stud. Health Technol. Inform., 129(pt. 1):58-62, 2007.
15. Bodenreider, O., The Unified Medical Language System (UMLS): Integrating biomedical terminology. Nucleic Acids Res. 32(database issue D267-D270), 2004.
16. Lindberg, D. A., Humphreys, B. L., and McCray, A. T., The unified medical language system. Methods Inf. Med. 32(4):281-291, 1993. (Pubitemid 24244347)
17. Bangalore, A., Thorn, K. E., Tilley, C., and Peters, L., The UMLS knowledge source server: An object model for delivering UMLS data. In: Proceedings of the AMIA 2003 Symposium. pp. 51-55, 2003.
18. McCray, A. T., Srinivasan, S., and Browne, A. C., Lexical methods for managing variation in biomedical terminologies. In: Proceedings of the Annual Symposium on Computer Applications in Medical Care. pp. 235-239, 1994.
19. Browne, A. C., Divita, G., Lu, C., McCreedy, L., and Nace, D., Lexical systems: A report to the Board of Scientif ic Counselors, Lister Hill National Center for Biomedical Communications, National Library of Medicine. Tech. Rep. LHNCBC-TR-2003-003, 2003.
20. Browne, A. C., McCray, A. T., and Srinivasan, S., The SPECIALIST LEXICON, Lister Hill National Center for Biomedical Communications, National Library of Medicine: Bethesda, MD, 2000.
21. de Nooy, W., Mrvar, A., and Batagelj, V., Exploratory social network analysis with Pajek. New York: Cambridge University Press, 2005.
22. O'Madadhain, J., Fisher, D., White, S., and Boey, Y. B., The JUNG (Java Universal Network/Graph) Framework, University of California, Irvine, CA. Tech Rep. UCI-ICS 03-17, 2003.
23. Fruchterman, T., and Reingold, E., Graph drawing by forcedirected placement. Softw. Pract. Exp. 21(11):1129-1164, 1991.
24. Batagelj, V., and Mrvar, A., Pajek: Analysis and visualization of large networks. In: Graph Drawing Software. pp. 77-103. Springer, 2003.
25. Lamping, J., and Rao, R., The hyperbolic browser: A focus+ context technique for visualizing large hierarchies. J. Vis. Lang. Comput. 6(4), 1995.