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Machine Learning for Youth Mental Health in Rwanda by ManikandanBakthavatchalam is a document available to read on EtoBox.

What is Machine Learning for Youth Mental Health in Rwanda about?

This study explores the application of machine learning to predict mental health outcomes among Rwandan youth, utilizing data from a sample of 5,221 participants. The research identifies significant risk factors such as exposure to trauma, violence, and heavy drinking, with the random forest model achieving the highest accuracy in predictions. The findings emphasize the importance of considering both social and biological factors in developing mental health interventions and policies in Rwanda.

Author

ManikandanBakthavatchalam

Language

EN