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What is Predictors of Depression Among Chinese about?

This study investigates predictors of depression among Chinese college students using machine learning, specifically the Random Forest Algorithm, analyzing data from 10,043 undergraduates. Key findings indicate that suicidal ideation, anxiety, and sleep quality are the strongest predictors of depression risk, with notable gender differences in risk factors. The model achieved high accuracy (87.5%) and highlights the importance of considering gender when developing mental health interventions for this popula

Author

fabian.balazs.93

Language

EN