Characterizing Suicide Ideation by Using Mental Disorder Features on Microblogs: A Machine Learning Perspective

Sarsam, SM, Al-Samarraie, H orcid.org/0000-0002-9861-8989, Alzahrani, AI et al. (2 more authors) (2024) Characterizing Suicide Ideation by Using Mental Disorder Features on Microblogs: A Machine Learning Perspective. International Journal of Mental Health and Addiction, 22 (4). pp. 1783-1796. ISSN 1557-1874

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Item Type: Article
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© Crown 2022. This is an author produced version of a paper published in International Journal of Mental Health and Addiction. Uploaded in accordance with the publisher's self-archiving policy.
Dates:
  • Published: August 2024
  • Published (online): 14 November 2022
  • Accepted: 29 October 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 05 Dec 2022 16:34
Last Modified: 23 Sep 2024 14:48
Status: Published
Publisher: Springer
Identification Number: 10.1007/s11469-022-00958-z
Open Archives Initiative ID (OAI ID):

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