Big Data Driven Mental Health Assessment Model for College Students

2022 International Conference on Knowledge Engineering and Communication Systems (ICKES) Pub Date : 2022-12-28 DOI:10.1109/ICKECS56523.2022.10059983

Zhu Min

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Abstract

The big data-driven mental health assessment model for college students is a new concept, which will be used to assess the mental health of college students. This is an open source project and anyone can contribute to it. Our goal is to provide a platform for researchers, practitioners and students interested in learning more about big data-driven mental health assessment models for college students. The big data-driven mental health assessment model for college students is a research-based tool that can be used to assess the mental health of college students. The results of this assessment will help to understand the degree of stress and anxiety of college students, their coping strategies and emotional status. It will also help to provide better counseling services for these students and others with similar problems. The assessment consists of two parts - one part is a questionnaire, which contains questions related to family life, academic performance, peer relations and other aspects, while the second part includes a set of algorithms.

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大数据驱动的大学生心理健康评估模型

大数据驱动的大学生心理健康评估模型是一个全新的概念，将用于大学生心理健康评估。这是一个开源项目，任何人都可以为它做出贡献。我们的目标是为有兴趣了解更多大数据驱动的大学生心理健康评估模型的研究人员、从业者和学生提供一个平台。大数据驱动的大学生心理健康评估模型是一种基于研究的大学生心理健康评估工具。本评估结果有助于了解大学生的压力和焦虑程度、应对策略和情绪状况。这也将有助于为这些学生和其他有类似问题的学生提供更好的咨询服务。评估由两部分组成——一部分是问卷，其中包含与家庭生活、学习成绩、同伴关系等方面有关的问题，而第二部分包括一套算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)

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