Explaining factors influencing students' depression with a deep learning approach

Key Points

• GLNet enhances mental health by identifying students at risk of depression effectively.
• The approach provides valuable insights that can help tailor intervention strategies for individual students.
• Using deep learning algorithms, educators can better understand factors influencing student mental health outcomes.
• This analysis supports the need for targeted intervention strategies to address student mental health concerns.

Abstract