research Assessment of college students’ mental health status based on temporal perception and hybrid clustering algorithm under the impact of public health events
This study introduced an innovative metric for assessing college students' mental health, incorporating temporal perception and a hybrid clustering algorithm, and found it achieved over 90% accuracy, outperforming existing methods in evaluating mental health during public health challenges.


