Tag: DASS-21
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Prevalence, risk factors, and ML-driven prediction of depression, anxiety, and stress among Bangladeshi university students
Overview Mental health is a cornerstone of overall well-being, yet university students in low- and middle-income countries face rising rates of depression, anxiety, and stress. This cross-sectional study from Bangladesh combines traditional epidemiology with machine learning (ML) to assess prevalence, identify associated factors, and predict mental health risk among students from two public universities. Key…