Data extraction for epidemiological research (DExtER): a novel tool for automated clinical epidemiology studies.

ABSTRACT: The use of primary care electronic health records for research is abundant. The benefits gained from utilising such records lies in their size, longitudinal data collection and data quality. However, the use of such data to undertake high quality epidemiological studies, can lead to significant challenges particularly in dealing with misclassification, variation in coding and the significant effort required to pre-process the data in a meaningful format for statistical analysis. In this paper, we describe a methodology to aid with the extraction and processing of such databases, delivered by a novel software programme; the "Data extraction for epidemiological research" (DExtER). The basis of DExtER relies on principles of extract, transform and load processes. The tool initially provides t

SUBMITTER: Gokhale KM 

PROVIDER: S-EPMC7987616 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature