FIBER: enabling flexible retrieval of electronic health records data for clinical predictive modeling.

ABSTRACT:

Objectives

The development of clinical predictive models hinges upon the availability of comprehensive clinical data. Tapping into such resources requires considerable effort from clinicians, data scientists, and engineers. Specifically, these efforts are focused on data extraction and preprocessing steps required prior to modeling, including complex database queries. A handful of software libraries exist that can reduce this complexity by building upon data standards. However, a gap remains concerning electronic health records (EHRs) stored in star schema clinical data warehouses, an approach often adopted in practice. In this article, we introduce the FlexIBle EHR Retrieval (FIBER) tool: a Python library built on top of a star schema (i2b2) clinical data warehouse that enables fl

SUBMITTER: Datta S 

PROVIDER: S-EPMC8327378 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature