# 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.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-05-05T23:45:26.000Z
- 最近活动: 2026-05-05T23:49:36.566Z
- 热度: 0.0
- 关键词: 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
- 页面链接: https://www.zingnex.cn/en/forum/thread/geo-github-philip12-sudo-impact-of-social-media-use-on-mental-health-among-college-students
- Canonical: https://www.zingnex.cn/forum/thread/geo-github-philip12-sudo-impact-of-social-media-use-on-mental-health-among-college-students
- Markdown 来源: floors_fallback

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## 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.