Identification of Imminent Suicide Risk Among Young Adults Using Text Messages
Overview
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Suicide is the second leading cause of death among young adults but the challenges of preventing suicide are significant because the signs often seem invisible. Research has shown that clinicians are not able to reliably predict when someone is at greatest risk. In this paper, we describe the design, collection, and analysis of text messages from individuals with a history of suicidal thoughts and behaviors to build a model to identify periods of suicidality (i.e., suicidal ideation and non-fatal suicide attempts). By reconstructing the timeline of recent suicidal behaviors through a retrospective clinical interview, this study utilizes a prospective research design to understand if text communications can predict periods of suicidality versus depression. Identifying subtle clues in communication indicating when someone is at heightened risk of a suicide attempt may allow for more effective prevention of suicide.
Zantvoort K, Scharfenberger J, Boss L, Lehr D, Funk B J Healthc Inform Res. 2023; 7(4):447-479.
PMID: 37927375 PMC: 10620349. DOI: 10.1007/s41666-023-00148-z.
Indirect Identification of Perinatal Psychosocial Risks from Natural Language.
Allen K, Davis A, Krishnamurti T IEEE Trans Affect Comput. 2023; 14(2):1506-1519.
PMID: 37266391 PMC: 10234606. DOI: 10.1109/TAFFC.2021.3079282.
MHA: a multimodal hierarchical attention model for depression detection in social media.
Li Z, An Z, Cheng W, Zhou J, Zheng F, Hu B Health Inf Sci Syst. 2023; 11(1):6.
PMID: 36660408 PMC: 9846704. DOI: 10.1007/s13755-022-00197-5.
Xu Z, Chan C, Zhang Q, Xu Y, He L, Cheung F Commun Med (Lond). 2022; 2(1):156.
PMID: 36474010 PMC: 9723576. DOI: 10.1038/s43856-022-00222-4.
Inferring sleep disturbance from text messages of suicide attempt survivors: A pilot study.
Ladis I, Valladares T, Coppersmith D, Glenn J, Nobles A, Barnes L Suicide Life Threat Behav. 2022; 53(1):39-53.
PMID: 36083138 PMC: 9908817. DOI: 10.1111/sltb.12920.