Ontology highlight
ABSTRACT: Objective
Electronic health records (EHRs) are a rich source of information on human diseases, but the information is variably structured, fragmented, curated using different coding systems, and collected for purposes other than medical research. We describe an approach for developing, validating, and sharing reproducible phenotypes from national structured EHR in the United Kingdom with applications for translational research.Materials and methods
We implemented a rule-based phenotyping framework, with up to 6 approaches of validation. We applied our framework to a sample of 15 million individuals in a national EHR data source (population-based primary care, all ages) linked to hospitalization and death records in England. Data comprised continuous measurements (for exampl
SUBMITTER: Denaxas S
PROVIDER: S-EPMC6857510 | biostudies-literature | 2019 Dec
REPOSITORIES: biostudies-literature