Skip to main content
Log in

Semantic representation of evidence-based medical guidelines and its use cases

  • Computer Science
  • Published:
Wuhan University Journal of Natural Sciences

    We’re sorry, something doesn't seem to be working properly.

    Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

Abstract

Semantic representation of evidence-based medical guidelines provides the support for the data inter-operability and has been found many applications in the medical domain. In this paper, we describe a semantic representation approach of evidence- based medical guidelines, which is based on the Semantic Web Technology standards. We discuss several use cases of that semantic representation of evidence-based medical guideline, and show that they are potentially useful for medical applications.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Fox J, Johns N, Lyons C, et al. Proforma: A general technology for clinical decision support systems [J]. Computer Methods and Programs in Biomedicine, 1997, 67: 54–59.

    Google Scholar 

  2. Paul A, Johannes A, Hendrikus H, et al. Proforma, approaches for creating computer-interpretable guidelines that facilitate decision support[J]. Artificial Intelligence in Medicine, 2004, 31(1): 1–27.

    Article  Google Scholar 

  3. Shahar Y, Miksch S, Johnson P. The asgaard project: A task-specific framework for the application and critiquing of time oriented clinical guidelines [J]. Artificial Intelligence in Medicine, 1998, 14(1-2): 29–51.

    Article  CAS  PubMed  Google Scholar 

  4. Tu S, Musen M. A fexible approach to guideline modeling [C]//Proceeding of 1999 AMIA Symposium. Los Angeles: AMIA Inc, 1990: 420–424.

    Google Scholar 

  5. Peleg M, Boxwala A, Ogunyemi O, et al. Glif3: The evolution of a guideline representation format [C]//Proceedings of AMIA Annual Symposium. Los Angeles: AMIA Inc, 2000: 645–649.

    Google Scholar 

  6. Peleg M, Boxwala A, Tu S, et al. Guideline Interchange Format 3.4[R]. Amsterdam: Intermedcol Laboratory, 2001.

    Google Scholar 

  7. Huang Z S, Ten Teije A, Van Harmelen F, et al. Semantic representation of Evidence-based Medical Guidelines[C]// Knowledge Representation for Health Care, Lecture Notes in Computer Science. Amsterdam: Springer-Verlag, 2014, 8903: 78–94.

    Article  Google Scholar 

  8. NABON. Breast Cancer, Dutch Guideline, Version 2.0[R]. Netherlands: Integral Kankercentrum Netherland, National Borstkanker Overleg Nederland, 2012.

    Google Scholar 

  9. NSRS. Guideline Complex Regional Pain Syndrome Type I[R]. Netherlands: Netherlands Society of Rehabilitation Specialists, 2006.

    Google Scholar 

  10. Ait-Mokhtar S, Bruijn D, Hagege C, et al. Initial Prototype for Relation Identification Between Concepts, D3.2[R]. Amsterdam: EURECA Project, 2013.

    Google Scholar 

  11. Ait-Mokhtar S, Chanod P, Roux C. Robustness beyond shallowness: Incremental deep parsing [J]. Natural Language Engineering, 2002, 8(2): 121–144.

    Google Scholar 

  12. Lindberg D, Humphreys B, McCray A. The united medical language system[J]. Methods of Information in Medicine, 1993, 32(4): 281–291.

    CAS  PubMed  Google Scholar 

  13. Hu Q, Huang Z S, Ten Teije A, et al. Evidence-based medical Guidelines in SemanticCT [C]//Proceedings of 2014 Chinese Semantic Web Conference (CSWS2014). Heidelberg: Springer-Verlag, 2014, 480: 198–212.

    Google Scholar 

  14. Huang Z S, Ten Teije A, Van Harmelen F. SemanticCT: A semantically enabled clinical trial system [C]// Process Support and Knowledge Representation in Health Care. Amsterdam: Springer-Verlag, 2013, 8268: 11–25.

    Article  Google Scholar 

  15. Fensel D, Van Harmelen F, Andersson B, et al. Towards LarKC: A platform for web-scale reasoning [C]//Proceedings of the IEEE International Conference on Semantic Computing(ICSC 2008). Piscataway: IEEE Computer Society Press, 2008: 524–529.

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Qing Hu.

Additional information

Foundation item: Supported by the European Commission under the 7th Framework EURECA Project (FP7-ICT-2011-7, 288048), the Key Projects of National Social Science Foundation of China (11ZD&189), and the Natural Science Foundation of Hubei Province(2014CFB247)

Biography: HU Qing, female, Ph.D. candidate, research direction: artificial intelligence in medicine.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, Q., Huang, Z. & Gu, J. Semantic representation of evidence-based medical guidelines and its use cases. Wuhan Univ. J. Nat. Sci. 20, 397–404 (2015). https://doi.org/10.1007/s11859-015-1112-y

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11859-015-1112-y

Keywords

CLC number

Navigation