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Machine Learning Prediction of Social Media's Impact on College Students' Mental Health: A Public Health Study

This article introduces a public health study that uses machine learning methods to predict the impact of social media use on college students' mental health. The study employed algorithms such as random forests and achieved excellent performance in both classification and regression tasks, providing data support for mental health interventions in the digital age.

机器学习公共卫生心理健康社交媒体随机森林大学生数字健康预测模型
Published 2026-05-06 07:45Recent activity 2026-05-06 07:49Estimated read 1 min
Machine Learning Prediction of Social Media's Impact on College Students' Mental Health: A Public Health Study
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Section 01

导读 / 主楼:Machine Learning Prediction of Social Media's Impact on College Students' Mental Health: A Public Health Study

Introduction / Main Floor: Machine Learning Prediction of Social Media's Impact on College Students' Mental Health: A Public Health Study

This article introduces a public health study that uses machine learning methods to predict the impact of social media use on college students' mental health. The study employed algorithms such as random forests and achieved excellent performance in both classification and regression tasks, providing data support for mental health interventions in the digital age.