2019年冠状病毒病(COVID-19)
大流行
2019-20冠状病毒爆发
自杀风险
比例(比率)
自杀预防
风险评估
毒物控制
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
伤害预防
心理学
临床心理学
医学
医疗急救
计算机科学
计算机安全
病毒学
地理
内科学
地图学
疾病
传染病(医学专业)
爆发
作者
Rosie Kwon,Hayeon Lee,Min Seo Kim,Jin‐Seok Lee,Dong Keon Yon
标识
DOI:10.1016/j.ajp.2023.103704
摘要
• We developed a machine learning model, which exhibited a solid predictive performance for suicidality to capture the risk of suicidal attempts. • This study represents the first instance of predicting suicidality among adolescents through two Asian-based large-scale cohorts. • Our model has a potential to make a significant impact on suicide prevention effort by improving risk assessment for at-risk adolescents.
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