Abstract
Rule-based formalization of eligibility criteria in clinical trials have distinguished features such as declaration, easy maintenance, reusability, and expressiveness. In this paper, we present several knowledge services which can be provided by the rule-based formalization of eligibility criteria. The rule-based formalization can be generated automatically by using the logic programming Prolog with the support of NLP tools for the semantic annotation and relation extraction with medical ontologies/terminologies such as UMLS and SNOMED CT. We show how those automatically generated rule-based formalization for eligibility criteria can be used for the patient recruitment service in SemanticCT, a semantically-enabled system for clinical trials.
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This work is partially supported by the Dutch national project COMMIT/Data2Semantics.
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Huang, Z., Hu, Q., ten Teije, A., van Harmelen, F., Ait-Mokhtar, S. (2016). Knowledge Services Using Rule-Based Formalization for Eligibility Criteria of Clinical Trials. In: Yin, X., Geller, J., Li, Y., Zhou, R., Wang, H., Zhang, Y. (eds) Health Information Science. HIS 2016. Lecture Notes in Computer Science(), vol 10038. Springer, Cham. https://doi.org/10.1007/978-3-319-48335-1_6
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