Acquisition of a Lexicon for Family History Information: Bidirectional Encoder Representations From Transformers-Assisted Sublanguage Analysis.

ABSTRACT:

Background

A patient's family history (FH) information significantly influences downstream clinical care. Despite this importance, there is no standardized method to capture FH information in electronic health records and a substantial portion of FH information is frequently embedded in clinical notes. This renders FH information difficult to use in downstream data analytics or clinical decision support applications. To address this issue, a natural language processing system capable of extracting and normalizing FH information can be used.

Objective

In this study, we aimed to construct an FH lexical resource for information extraction and normalization.

Methods

We exploited a transformer-based method to construct an FH lexical resource leveraging a corpus consisting

SUBMITTER: Wang L 

PROVIDER: S-EPMC10337517 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature