Investigating online activity in UK adolescent mental health patients: a feasibility study using a natural language processing approach for electronic health records.

ABSTRACT:

Objectives

To assess the feasibility of using a natural language processing (NLP) application for extraction of free-text online activity mentions in adolescent mental health patient electronic health records (EHRs).

Setting

The Clinical Records Interactive Search system allows detailed research based on deidentified EHRs from the South London and Maudsley NHS Foundation Trust, a large south London Mental Health Trust providing secondary and tertiary mental healthcare.

Participants and methods

We developed a gazetteer of online activity terms and annotation guidelines, from 5480 clinical notes (200 adolescents, aged 11-17 years) receiving specialist mental healthcare. The preprocessing and manual curation steps of this real-world data set allowed development of a rule

SUBMITTER: Sedgwick R 

PROVIDER: S-EPMC10230886 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature