自动提取自杀的健康社会决定因素：一项叙述性文献综述。
Automatically extracting social determinants of health for suicide: a narrative literature review.
作者信息
Schoene Annika M, Garverich Suzanne, Ibrahim Iman, Shah Sia, Irving Benjamin, Dacso Clifford C
机构信息
Northeastern University, Institute for Experiential AI, Boston, USA.
Northeastern University, Institute for Health Equity and Social Justice Research, Boston, USA.
出版信息
Npj Ment Health Res. 2024 Nov 6;3(1):51. doi: 10.1038/s44184-024-00087-6.
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.
自杀是一种复杂的现象，通常在没有被诊断出心理健康问题的情况下发生，因此难以研究和缓解。人工智能越来越多地被用于更好地理解影响自杀结果的健康因素的社会决定因素。在这篇综述中，我们发现许多研究使用的社会决定因素健康信息有限，少数群体的代表性往往不足，从而忽略了可能影响自杀风险的重要因素。
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