Abstract
Reference terminologies based and computable knowledge representations for eligibility criteria are needed to provide computer-based decision support for automated screening, and other purposes. RuleEd and ERGO, a tool and an ad-hoc language for encoding CT, are recent initiatives to achieve this goal. RuleEd defines a collection of connectors that aims at connecting domain concepts to represent criteria in a formal way. Our study is focused on these connectors. Method: We assessed the RuleEd native collection (Ci) of connectors and we proposed an improved new version (Co). Then, from two samples of Ci and Co, we evaluated how SNOMED CT and NCIT could encode and represent the RuleEd connectors. Results: RuleEd provides 362 connectors organized in 10 categories. These categories are confusing. Many Ci connectors are redundant and we reduced Ci into 133 Co connectors (−64%). SNOMED CT has the best coverage rate for encoding Ci and Co connectors (47% up to 61%). Nevertheless, both terminologies have still open issues, especially a lack of formal representation and need to be improved, to be used for an automatic reasoning purpose.
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Massot, M., Cuggia, M., Duvauferrier, R., Bertaud-Gounot, V. (2011). Représentation formelle des critères d’éligibilité aux essais cliniques: Exigences sémantiques de représentation des relations. In: Staccini, P.M., Harmel, A., Darmoni, S.J., Gouider, R. (eds) Systèmes d’information pour l’amélioration de la qualité en santé. Informatique et Santé, vol 1. Springer, Paris. https://doi.org/10.1007/978-2-8178-0285-5_4
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DOI: https://doi.org/10.1007/978-2-8178-0285-5_4
Publisher Name: Springer, Paris
Print ISBN: 978-2-8178-0284-8
Online ISBN: 978-2-8178-0285-5