Unmasking the Hidden Struggles: Machine Learning Reveals Depression Symptoms in Undergraduate Students through Academic-Related Stress and Loneliness

During the COVID-19 pandemic, graduate students have shown a high prevalence of depression symptoms, leading to a significant decline in mental health among young individuals. It is crucial to identify the stressors or difficulties in academic life associated with poor mental health and the severity of psychiatric symptoms in order to implement targeted prevention and intervention programs.