Portability of natural language processing methods to detect suicidality from clinical text in US and UK electronic health records
Background: In the global effort to prevent death by suicide, many academic medical institutions are implementing natural language processing (NLP) approaches to detect suicidality from unstructured clinical text in electronic health records (EHRs), with the hope of targeting timely, preventative in...
Main Authors: | Marika Cusick, Sumithra Velupillai, Johnny Downs, Thomas R. Campion, Jr., Evan T. Sholle, Rina Dutta, Jyotishman Pathak |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-12-01
|
Series: | Journal of Affective Disorders Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666915322001226 |
Similar Items
-
Reviewing a Decade of Research Into Suicide and Related Behaviour Using the South London and Maudsley NHS Foundation Trust Clinical Record Interactive Search (CRIS) System
by: André Bittar, et al.
Published: (2020-11-01) -
Identifying features of risk periods for suicide attempts using document frequency and language use in electronic health records
by: Rina Dutta, et al.
Published: (2023-12-01) -
Incidence of suicidality in people with depression over a 10-year period treated by a large UK mental health service provider
by: Emma R. Francis, et al.
Published: (2021-11-01) -
Risk Assessment Tools and Data-Driven Approaches for Predicting and Preventing Suicidal Behavior
by: Sumithra Velupillai, et al.
Published: (2019-02-01) -
Temporal and diurnal variation in social media posts to a suicide support forum
by: Rina Dutta, et al.
Published: (2021-05-01)