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Cohort Identification Using Semantic Web Technologies: Triplestores as Engines for Complex Computable Phenotyping
2021-12-05
health informatics
Title + abstract only
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BackgroundComputable phenotypes are increasingly important tools for patient cohort identification. As part of a study of risk of chronic opioid use after surgery, we used a Resource Description Framework (RDF) triplestore as our computable phenotyping platform, hypothesizing that the unique affordances of triplestores may aid in making complex computable phenotypes more interoperable and reproducible than traditional relational database queries. To identify and model risk for new chronic opioi...
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