Abstract
Evidence-based Clinical Guidelines are the document or recommendation which follow a rigorous development process and are based on the highest quality scientific evidence. Evidence-based clinical guidelines are important knowledge resources which have been used in many medical decision support systems and medical applications. In this paper, we present a semantic approach of evidence-based clinical guidelines. That lightweight formalisation of clinical guidelines have been integrated with SemanticCT, a semantically-enabled system for clinical trials. We have developed several tools to generate semantic data from textual guidelines. We show how they are useful in SemanticCT for the applications of the Semantic Web technology in medical domains.
Keywords
- Evidence-based Clinical Guidelines
- Textual Guidelines
- Semantically-enabled System
- Important Knowledge Resources
- Medical Decision Support Systems
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Acknowledgments
This work is partially supported by the European Commission under the 7th framework programme EURECA Project (FP7-ICT-2011-7, Grant 288048).
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Hu, Q., Huang, Z., van Harmelen, F., ten Teije, A., Gu, J. (2014). Evidence-Based Clinical Guidelines in SemanticCT. In: Zhao, D., Du, J., Wang, H., Wang, P., Ji, D., Pan, J. (eds) The Semantic Web and Web Science. CSWS 2014. Communications in Computer and Information Science, vol 480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45495-4_18
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DOI: https://doi.org/10.1007/978-3-662-45495-4_18
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