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在社交媒体数据中基于深度学习的抑郁和自杀倾向的检测,具有特征选择

İsmail Baydili1, Burak Tasci2, Gülay Tasci3

  • 1Department of Audiovisual Techniques and Media Production, Vocational School of Technical Sciences, Fırat University, Elazig 23119, Turkey.

Behavioral sciences (Basel, Switzerland)
|March 28, 2025
PubMed
概括

这项研究开发了一种机器学习模型,从社交媒体帖子中检测抑郁症和自杀倾向. 该模型实现了高精度,为早期心理健康干预提供了潜在的工具.

关键词:
支持矢量机器 支持矢量机器深度学习是一种深度学习.抑郁和自杀倾向的情况.抑郁症检测 抑郁症检测功能选择 功能选择心理健康 心理健康预先训练有素的语言模型社交媒体分析分析自杀想法自杀的想法

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