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

Artificial Intelligence (122) e-Mental Health and Cyberpsychology (1411) Natural Language Processing (650) Infodemiology and Infoveillance (1278) Diagnostic Tools in Mental Health (224) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) Peer-to-Peer Support and Online Communities (602) Depression and Mood Disorders; Suicide Prevention (1290)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41205, first published .
Enabling Early Health Care Intervention by Detecting Depression in Users of Web-Based Forums using Language Models: Longitudinal Analysis and Evaluation

Enabling Early Health Care Intervention by Detecting Depression in Users of Web-Based Forums using Language Models: Longitudinal Analysis and Evaluation

Enabling Early Health Care Intervention by Detecting Depression in Users of Web-Based Forums using Language Models: Longitudinal Analysis and Evaluation

Authors of this article:

David Owen1 Author Orcid Image ;   Dimosthenis Antypas1 Author Orcid Image ;   Athanasios Hassoulas2 Author Orcid Image ;   Antonio F Pardiñas3 Author Orcid Image ;   Luis Espinosa-Anke1 Author Orcid Image ;   Jose Camacho Collados1 Author Orcid Image
Article Authors Cited by (1) Tweetations (10) Metrics

David Owen   1 , MSc ;   Dimosthenis Antypas   1 , MSc ;   Athanasios Hassoulas   2 , PhD ;   Antonio F Pardiñas   3 , PhD ;   Luis Espinosa-Anke   1 , PhD ;   Jose Camacho Collados   1 , PhD

1 School of Computer Science and Informatics, Cardiff University, Cardiff, United Kingdom

2 Centre for Medical Education, School of Medicine, Cardiff University, Cardiff, United Kingdom

3 Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, United Kingdom

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