Automatically extracting social determinants of health for suicide: a narrative literature review

Annika M. Schoene; Suzanne Garverich; Iman Ibrahim; Sia Shah; Benjamin Irving; Clifford C. Dacso

doi:10.1038/s44184-024-00087-6

Automatically extracting social determinants of health for suicide: a narrative literature review

Annika M. Schoene, Suzanne Garverich, Iman Ibrahim, Sia Shah, Benjamin Irving, Clifford C. Dacso

Research output: Contribution to journal › Review article › peer-review

Abstract

Suicide is a complex phenomenon that is often not preceded by a diagnosed mental health condition, therefore making it difficult to study and mitigate. Artificial Intelligence has increasingly been used to better understand Social Determinants of Health factors that influence suicide outcomes. In this review we find that many studies use limited SDoH information and minority groups are often underrepresented, thereby omitting important factors that could influence risk of suicide.

Original language	English (US)
Article number	51
Journal	npj Mental Health Research
Volume	3
Issue number	1
DOIs	https://doi.org/10.1038/s44184-024-00087-6
State	Published - Dec 2024

ASJC Scopus subject areas

Psychiatry and Mental health
Neuroscience (miscellaneous)
Behavioral Neuroscience
Psychology (miscellaneous)

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10.1038/s44184-024-00087-6

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AU - Irving, Benjamin

AU - Dacso, Clifford C.

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AB - Suicide is a complex phenomenon that is often not preceded by a diagnosed mental health condition, therefore making it difficult to study and mitigate. Artificial Intelligence has increasingly been used to better understand Social Determinants of Health factors that influence suicide outcomes. In this review we find that many studies use limited SDoH information and minority groups are often underrepresented, thereby omitting important factors that could influence risk of suicide.

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Automatically extracting social determinants of health for suicide: a narrative literature review

Abstract

ASJC Scopus subject areas

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