This paper is in the following e-collection/theme issue:

Applications of AI (248) Natural Language Processing (871) Electronic Health Records (1273) Intentional Self-Harm (128) Depression and Mood Disorders; Suicide Prevention (1625)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64898, first published .
Developing a Tool for Identifying Clinical Risk From Free-Text Clinical Records: Natural Language Processing Study

Developing a Tool for Identifying Clinical Risk From Free-Text Clinical Records: Natural Language Processing Study

Developing a Tool for Identifying Clinical Risk From Free-Text Clinical Records: Natural Language Processing Study

Authors of this article:

Natasha Biscoe1 Author Orcid Image ;   Daniel Leightley2 Author Orcid Image ;   Dominic Murphy1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Natasha Biscoe   1 , BSc, MSc ;   Daniel Leightley   2 , BSc, MSc, PhD ;   Dominic Murphy   1, 2 , MA(Hons), PhD, DClinPsych

1 Combat Stress Centre for Applied Military Health Research, Leatherhead, United Kingdom

2 King's College London, King’s Centre for Military Health Research, London, United Kingdom

Corresponding Author: