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Updated: Jan 25, 2026

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从关键杆机器学习到检测青年在社交媒体上的自伤和自杀风险:算法开发和验证研究

Sarvech Qadir1, Ashwaq Alsoubai2, Jinkyung Katie Park3

  • 1Department of Computer Science, Vanderbilt University, Nashville, TN, United States.

JMIR mental health
|January 23, 2026
PubMed
概括

在私人Instagram消息中检测青少年自我伤害或自杀 (SH-S) 想法需要细微的,具有背景意识的模型. 扩大对话上下文显著提高了识别SH-S表达式的准确性,突出了它对心理健康工具的重要性.

关键词:
机器学习是机器学习.心理健康 心理健康自然语言处理自然语言处理.自杀/自伤行为年轻人年轻人年轻人年轻人年轻人年轻人

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