Text mining occupations from the mental health electronic health record: a natural language processing approach using records from the Clinical Record Interactive Search (CRIS) platform in south London, UK.

ABSTRACT:

Objectives

We set out to develop, evaluate and implement a novel application using natural language processing to text mine occupations from the free-text of psychiatric clinical notes.

Design

Development and validation of a natural language processing application using General Architecture for Text Engineering software to extract occupations from de-identified clinical records.

Setting and participants

Electronic health records from a large secondary mental healthcare provider in south London, accessed through the Clinical Record Interactive Search platform. The text mining application was run over the free-text fields in the electronic health records of 341 720 patients (all aged ≥16 years).

Outcomes

Precision and recall estimates of the application performan

SUBMITTER: Chilman N 

PROVIDER: S-EPMC7996661 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature