Research on prediction model of college students’ mental health status based on machine learning algorithm

View Full Paper

Ask AI

Bookmark

The BERT-B model achieves a prediction accuracy rate of 97.25%, indicating exceptional performance in assessing mental health.
Key metrics include an accuracy rate of 96.66% and a recall rate of 99.61%, providing reliable predictions for mental health status.
An innovative approach utilizing big data and machine learning algorithms was employed to enhance evaluation methods.
The study underscores the potential for personalized mental health interventions in colleges through effective data analysis.

Discussion

No takes yet. Share an insight, caveat, or question.

This research demonstrates a prediction model for mental health based on social media data, suggesting improved assessment accuracy.

Yi Luo (2025) studied this question.

View Full Paper

Ask AI

Bookmark