Mapping of UK Biobank clinical codes: Challenges and possible solutions.

ABSTRACT:

Objective

The UK Biobank provides a rich collection of longitudinal clinical data coming from different healthcare providers and sources in England, Wales, and Scotland. Although extremely valuable and available to a wide research community, the heterogeneous dataset contains inconsistent medical terminology that is either aligned to several ontologies within the same category or unprocessed. To make these data useful to a research community, data cleaning, curation, and standardization are needed. Significant efforts to perform data reformatting, mapping to any selected ontologies (such as SNOMED-CT) and harmonization are required from any data user to integrate UK Biobank hospital inpatient and self-reported data, data from various registers with primary care (GP) data. The integ

SUBMITTER: Stroganov O 

PROVIDER: S-EPMC9757572 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature