PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 3, 2026Frontiers in Psychology0 citationsOpen Access

Explaining factors influencing students' depression with a deep learning approach

View Full Paper
XLXinyu LiCentral South UniversityYHYunyi HuRenmin University of ChinaHCHuohong ChenHunan Normal University

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

GLNet can serve as a reliable tool for enhancing student mental health. It also provides valuable insights for educators to identify students at risk of depression, contributing to the optimization of student mental health intervention strategies.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/69a75e13c6e9836116a286ebhttps://doi.org/10.3389/fpsyg.2025.1684274
Ask AI
Helpful
Bookmark
Share
View Full Paper