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Rule-Based Formalization of Eligibility Criteria for Clinical Trials

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Artificial Intelligence in Medicine (AIME 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7885))

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Abstract

In this paper, we propose a rule-based formalization of eligibility criteria for clinical trials. The rule-based formalization is implemented by using the logic programming language Prolog. Compared with existing formalizations such as pattern-based and script-based languages, the rule-based formalization has the advantages of being declarative, expressive, reusable and easy to maintain. Our rule-based formalization is based on a general framework for eligibility criteria containing three types of knowledge: (1) trial-specific knowledge, (2) domain-specific knowledge and (3) common knowledge. This framework enables the reuse of several parts of the formalization of eligibility criteria. We have implemented the proposed rule-based formalization in SemanticCT, a semantically-enabled system for clinical trials, showing the feasibility of using our rule-based formalization of eligibility criteria for supporting patient recruitment in clinical trial systems.

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Huang, Z., ten Teije, A., van Harmelen, F. (2013). Rule-Based Formalization of Eligibility Criteria for Clinical Trials. In: Peek, N., Marín Morales, R., Peleg, M. (eds) Artificial Intelligence in Medicine. AIME 2013. Lecture Notes in Computer Science(), vol 7885. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38326-7_7

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  • DOI: https://doi.org/10.1007/978-3-642-38326-7_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38325-0

  • Online ISBN: 978-3-642-38326-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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