Abstract
Clinical practice guideline is an evolving reference document that contains recommendations and knowledge which aims to assist professionals to master a medical domain. In our work, we are interested in using these documents in order to assist doctors to make decisions about appropriate health care for patients who are at risk of cardiovascular disease. More precisely, our paper proposes an automatic approach that parses and transforms text (clinical practice guideline) into OWL DL (Ontology Language Web Description Logic) axioms and SWRL (Semantic Web Rule Language) rules. To parse the text, we have used an existing ontology of cardiovascular domain and natural language processing tools (NLP). Our work is original in that studies the mapping between text and SWRL rules while the related works are focused only on mapping text on OWL lightweight axioms.
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Sbissi, S., Mahfoudh, M., Gattoufi, S. (2019). Mapping Clinical Practice Guidelines to SWRL Rules. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing, vol 930. Springer, Cham. https://doi.org/10.1007/978-3-030-16181-1_27
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DOI: https://doi.org/10.1007/978-3-030-16181-1_27
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