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Directly recruited students need to adjust their psychology in the face of student pressure. Currently, for the psychological testing of students, we have proposed an intelligent method to analyze their mental health and combine big data to mine and quickly identify their psychology. The research results show that big data methods can detect students’ psychological problems and improve the effectiveness of psychological recognition by more than 10%. The overall mental health of students has been greatly improved, and those who can achieve overall optimization and improvement of their mental health can do. Therefore, big data methods can predict mental health problems and improve the psychological well-being of vocational high school students.

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Research on the Prediction of Mental Health Problems of Vocational Students Based on Big Data and Deep Learning

  • 会议论文

  • 发表日期：

    2026年

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  • Qiuyue Min,
  • Wen Liu

摘要

Directly recruited students need to adjust their psychology in the face of student pressure. Currently, for the psychological testing of students, we have proposed an intelligent method to analyze their mental health and combine big data to mine and quickly identify their psychology. The research results show that big data methods can detect students’ psychological problems and improve the effectiveness of psychological recognition by more than 10%. The overall mental health of students has been greatly improved, and those who can achieve overall optimization and improvement of their mental health can do. Therefore, big data methods can predict mental health problems and improve the psychological well-being of vocational high school students.