Towards Automatic Patient Eligibility Assessment: From Free-Text Criteria to Queries
نویسندگان
چکیده
The presented work contributes to bridging the representation of clinical trials and patient data. Our ultimate goal is to support the trial recruitment, by automating the process of formalizing eligibility criteria of clinical trials, starting from free text of criteria and leading to a computable representation. This paper discusses the final step in the pipeline i.e. generating queries from the structured representation consisting of detected patterns and semantic entities. The queries allow to evaluate patient eligibility for a given trial. To enable easy incorporation of semantic reasoning using medical ontologies, we built the queries in SPARQL and use the OWL representation of one the standards for patient data storage openEHR archetypes and NCI ontology. The available public repository of archetypes and the expressivity of SPARQL allow to create template queries for the majority of patterns.
منابع مشابه
Semantic query generation from eligibility criteria in clinical trials.
Towards the goal of automated eligibility determination for clinical trials from electronic health records, we propose a method to formulate Semantic Web based queries using the free-text eligibility criteria on clinicaltrials.gov.
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