韩国残疾人自杀想法相关的因素:回顾性观察性研究
In-Hwan Oh1, Sooyeon Jo2, Joon Lee3,4,5
1Department of Preventive Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
JMIR formative research
|December 12, 2025
概括
韩国是经合组织国家中自杀率最高的国家,残疾人尤其容易受到伤害. 这项研究使用机器学习识别了该群体中导致自杀念头的关键因素,帮助未来的预防策略.
科学领域:
- 公共卫生 公共卫生
- 心理健康研究 心理健康研究
- 医疗保健中的机器学习
背景情况:
- 韩国面临着高自杀率,特别是在残疾人中.
- 自杀念头和自杀企图在研究中显示出强烈的相关性.
- 残疾人有不成比例地高的自杀念头.
研究的目的:
- 调查导致韩国残疾人自杀念头的因素.
- 利用机器学习模型来预测自杀念头.
- 确定针对性心理健康干预措施的关键预测因素.
主要方法:
- 分析了2020年全国残疾人调查数据 (n=6832).
- 使用随机森林进行特征选择,从1394个变量中确定前100个预测因素.
- 培训和评估五种机器学习模型:物流回归,SVM,随机森林,XGBoost和神经网络.
主要成果:
- 12.1%的残疾人报告说,在过去的一年里,他们有过自杀的想法.
- 重要的预测因素包括强烈的悲伤,与残疾有关的困难和健康满意度.
- 随机森林模型实现了最高的预测性能 (AUC 0.905).
结论:
- 确定了残疾人自杀念头的关键预测因素.
- 强调需要有针对性的心理健康干预和自杀预防策略.
- 机器学习有效地确定了关键因素,需要进一步研究因果关系.
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