Abstract
Evidence-based Clinical Guidelines (EbCGs) are document or recommendation which have been created using the best clinical research findings of the highest value to aid in the delivery of optimum clinical care to patients. In this paper, we propose a lightweight formalism of evidence-based clinical guidelines by introducing the Semantic Web Technology for it. With the help of the tools which have been developed in the Semantic Web and Natural Language Processing (NLP), the generation of the formulations of evidence-based clinical guidelines become much easy. We will discuss several usecases of the semantic representation of EbCGs, and argue that it is potentially useful for the applications of the semantic web technology on the medical domain.
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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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Huang, Z., ten Teije, A., van Harmelen, F., Aït-Mokhtar, S. (2014). Semantic Representation of Evidence-Based Clinical Guidelines. In: Miksch, S., Riaño, D., ten Teije, A. (eds) Knowledge Representation for Health Care. KR4HC 2014. Lecture Notes in Computer Science(), vol 8903. Springer, Cham. https://doi.org/10.1007/978-3-319-13281-5_6
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DOI: https://doi.org/10.1007/978-3-319-13281-5_6
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