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What is Predicting Student Mental Health Crises about?

The study investigates the prediction and analysis of mental health crises among students in Computer Science and Information Systems at Biliran Province State University using J48 Decision Tree and Naïve Bayes algorithms. It highlights the significance of early identification of mental health issues to facilitate timely interventions, particularly in high-stress academic environments. The findings aim to inform better mental health support systems and policies tailored for at-risk student populations.

Author

Karyll Ann Ramirez

Language

EN