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Semantic Representation of Evidence-Based Clinical Guidelines

  • Zhisheng HuangEmail author
  • Annette ten TeijeEmail author
  • Frank van Harmelen
  • Salah Aït-Mokhtar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8903)

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.

Notes

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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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of Computer ScienceVU University AmsterdamAmsterdamThe Netherlands
  2. 2.Xerox Research Centre EuropeMeylanFrance

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