Big Data Driven Mental Health Assessment Model for College Students

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.