Abstract
Rational use of antibiotics has become an important issue in medical practice and health care. Clinical guidelines are one of the most useful knowledge resources for rational use of antibiotics. As the monitoring of rational use of antibiotics involves complex knowledge of guidelines analysis and management process, traditional way of human intervention is not sufficient to monitor rational use of antibiotics effectively. Therefore, we introduce the semantic technology to semi-automatically transform the knowledge contained in the clinical guidelines and get the semantic data. In this paper, we firstly investigate how to obtain the semantic data from the guidelines knowledge which are described in natural language, then propose an approach to transformation of guidelines knowledge into semantic data, which can be loaded into SeSRUA, a Semantically-Enabled System for Rational Use of Antibiotics. Finally we report how to implement the proposed approach in SToGRUA, a system of Semantic Transformer of guidelines for Rational Use of Antibiotics, as a tool of SeSRUA.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Chinese Medical Association, Pharmacy Administration Commission of Chinese Hospital Association, Hospital Pharmacy Committee of Chinese Pharmaceutical Association: Clinical guidelines for rational use of antibiotics. Technical report (2008)
Fox, J., Johns, N., Rahmanzadeh, A., Thomson, R.: Proforma, approaches for creating computer-interpretable guidelines that facilitate decision support. In: Proceedings of Medical Informatics Europe, Amsterdam (1996)
Shahar, Y., Miksch, S., Johnson, P.: The asgaard project: a task specific framework for the application and critiquing of time oriented clinical guidelines. Artif. Intell. Med. 14, 29–51 (1998)
Tu, S., Musen, M.: A flexible approach to guideline modeling. In: Proceeding of 1999 AMIA Symposium, pp. 420–424 (1999)
Peleg, M., Boxwala, A., Ogunyemi, O., et al.: Glif3: The evolution of a guideline representation format. In: Proceedings of AMIA Annu. Fall Symp., pp. 645–649 (2000)
Hua, X., Chen, C., Huang, Z., Hu, Q.: Intelligent monitoring on use of antibacterial agents based on semantic technology. Journal of China Digital Medicine 8, 12–15 (2013)
Cheptsov, A., Huang, Z.: Making web-scale semantic reasoning more service-oriented: The large knowledge collide. In: Proceedings of the 2012 Workshop on Advanced Reasoning Technology for e-Science (ART 2012) (2012)
Fensel, D., van Harmelen, F., Andersson, B., Brennan, P., Cunningham, H., Della Valle, E., Fischer, F., Huang, Z., Kiryakov, A., Lee, T., School, L., Tresp, V., Wesner, S., Witbrock, M., Zhong, N.: Towards LarKC: a platform for web-scale reasoning. In: Proceedings of the IEEE International Conference on Semantic Computing (ICSC 2008). IEEE Computer Society Press, CA (2008)
Wielemaker, J., Huang, Z., van der Meij, L.: SWI-Prolog and the web. Journal of Theory and Practice of Logic Programming 8(3), 363–392 (2008)
Wielemaker, J., Schrijvers, T., Triska, M., Lager, T.: Swi-prolog. Journal of Theory and Practice of Logic Programming 12(1-2), 67–96 (2012)
Huang, Z., van Harmelen, F., ten Teije, A., Dentler, K.: Knowledge-based patient data generation. In: Riaño, D., Lenz, R., Miksch, S., Peleg, M., Reichert, M., ten Teije, A. (eds.) KGC 2013 and ProHealth 2013. LNCS, vol. 8268, pp. 83–96. Springer, Heidelberg (2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hu, Q., Huang, Z., Gu, J. (2014). Generation of Semantic Data from Guidelines for Rational Use of Antibiotics. In: Huang, Z., Liu, C., He, J., Huang, G. (eds) Web Information Systems Engineering – WISE 2013 Workshops. WISE 2013. Lecture Notes in Computer Science, vol 8182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54370-8_33
Download citation
DOI: https://doi.org/10.1007/978-3-642-54370-8_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54369-2
Online ISBN: 978-3-642-54370-8
eBook Packages: Computer ScienceComputer Science (R0)