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
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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.

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自动提取自杀的健康社会决定因素:叙述性文献综述。
自杀是一种复杂的现象,在自杀之前往往没有被诊断出精神健康状况,因此很难对其进行研究和缓解。人工智能已被越来越多地用于更好地了解影响自杀结果的健康社会决定因素。在这篇综述中,我们发现许多研究使用的 SDoH 信息有限,少数群体往往代表性不足,从而遗漏了可能影响自杀风险的重要因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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