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Knowledge Services Using Rule-Based Formalization for Eligibility Criteria of Clinical Trials

机译：使用基于规则的形式化进行临床试验资格标准的知识服务

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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.
机译：临床试验中基于规则的资格标准的形式化具有鲜明的特征，例如声明，易于维护，可重用性和可表达性。在本文中，我们介绍了几种可以通过基于规则的资格标准形式正规化提供的知识服务。通过使用逻辑编程Prolog并在NLP工具的支持下，可以自动生成基于规则的形式化，以进行语义注释和与医学本体/术语（例如UMLS和SNOMED CT）的关系提取。我们将展示那些自动生成的基于资格标准的基于规则的形式化方法，如何将其用于SemanticCT（为临床试验提供语义支持的系统）中的患者招募服务。

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