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The Use of the UMLS Knowledge Sources for the Design of a Domain Specific Ontology: A Practical Experience in Blood Transfusion

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Artificial Intelligence in Medicine (AIMDM 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1620))

Abstract

In highly evolved medical domains, decision support systems have to be easily modified by medical experts themselves. In the field of blood transfusion, the evolution of medical knowledge and governmental regulation impose a continuous adaptation of decision support systems. Explicit domain ontologies are then a prerequisite for the construction of such extensible systems. We have chosen to have our domain ontology representation based on the entities and relations present in the UMLS knowledge sources. In this paper we detail how, in using a specific browser, we have exploited, reused and extended UMLS entities and relations to design a domain specific ontology for blood transfusion.

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References

  1. Cimino, J., Distributed cognition and knowledge-based controlled medical terminologies. Artificial Intelligence in Medicine, 1998. 12(2): p. 125–168.

    Article  Google Scholar 

  2. UMLS Knowledge Sources. Vol. 9th Edition. 1998: National Library of Medicine.

    Google Scholar 

  3. Friedman, C. The Umls coverage of clinical radiology. in Proc of the 17th Symposium Computer Application in Medical Care. 1993. New York.

    Google Scholar 

  4. Cimino, J. Representation of clinical laboratory terminology in the unified Medical Language System (UMLS). in Proc of the 15th Symposium Computer Apllication in Medical Care. 1991. New York.

    Google Scholar 

  5. Burgun, A., et al. Knowledge Acquisition from the UMLS Sources: Application to the Descriptions of Surgical Procedures. in MEDINFO 95 Proceedings. R.A. Greenes et al (editors). 1995.

    Google Scholar 

  6. Campbell, K.E., D.E. Oliver, and E.H. Shortliffe, Representing Thoughts Words, and Things in the UMLS. Journal of the American Medical Informatics Association, 1997 (Special).

    Google Scholar 

  7. Dojat, M. and F. Pachet, Effective domain-dependent reuse in medical knowledge bases. Computers and Biomedical Research, 1995. 28(6): p. 403–432.

    Google Scholar 

  8. Gruber, T., A translation approach to portable ontology spécifications. Knowledge Acquisition, 1993. 5: p. 199–220.

    Article  Google Scholar 

  9. Mejino, J.L. and C. Rosse. The Potential of the Digital Anatomis Foundational Model for Assuring Consistency in UMLS Sources. in Proc Annu Symp Comp App Med Care. 1998.

    Google Scholar 

  10. Campbell, K.E., D.E. Oliver, and E.H. Shortliffe, The Unified Medical Language System: Toward A CollaborativeApproach for Solving Terminologic Problems. Journal of the American Medical Informatics Association., 1997. 5(1): p. 12–16.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Medical Informatics Departement, Henri Mondor Hospital, AP-HP, Creteil, France

    Soumeya Achour & Eric Lepage

  2. RMN Bioclinique, INSERM, U438, Grenoble, France

    Michel Dojat

  3. LIP6, Paris VI University, Paris, France

    Jean-Marc Brethon & Gil Blain

Authors
  1. Soumeya Achour
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  2. Michel Dojat
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  3. Jean-Marc Brethon
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  4. Gil Blain
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  5. Eric Lepage
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Editor information

Editors and Affiliations

  1. Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010, Vienna, Austria

    Werner Horn

  2. Department of Medicine and Computer Science, Stanford University, 251 Campus Drive, Stanford, CA, 94305-5479, USA

    Yuval Shahar

  3. Department of Medicine Karolinska Institutet, Huddinge University Hospital, Sweden

    Greger Lindberg

  4. Department of Medical Informatics and Image Analysis, Aalborg University, Fredrik Bajers Vej 7D, DK-9000, Aalborg, Denmark

    Steen Andreassen

  5. School of Public Policy, University College London, 29/30 Tavistock Square, London, WC1H 9EZ, UK

    Jeremy Wyatt

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© 1999 Springer-Verlag Berlin Heidelberg

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Achour, S., Dojat, M., Brethon, JM., Blain, G., Lepage, E. (1999). The Use of the UMLS Knowledge Sources for the Design of a Domain Specific Ontology: A Practical Experience in Blood Transfusion. In: Horn, W., Shahar, Y., Lindberg, G., Andreassen, S., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIMDM 1999. Lecture Notes in Computer Science(), vol 1620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48720-4_27

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  • DOI: https://doi.org/10.1007/3-540-48720-4_27

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66162-7

  • Online ISBN: 978-3-540-48720-3

  • eBook Packages: Springer Book Archive

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