ARCH: Large-scale Knowledge Graph via Aggregated Narrative Codified Health Records Analysis.

ABSTRACT:

Objective

Electronic health record (EHR) systems contain a wealth of clinical data stored as both codified data and free-text narrative notes, covering hundreds of thousands of clinical concepts available for research and clinical care. The complex, massive, heterogeneous, and noisy nature of EHR data imposes significant challenges for feature representation, information extraction, and uncertainty quantification. To address these challenges, we proposed an efficient Aggregated naRrative Codified Health (ARCH) records analysis to generate a large-scale knowledge graph (KG) for a comprehensive set of EHR codified and narrative features.

Methods

The ARCH algorithm first derives embedding vectors from a co-occurrence matrix of all EHR concepts and th

SUBMITTER: Gan Z 

PROVIDER: S-EPMC10246054 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature