Research on the Prevention of Mental Illness of College Students by Health Education under the Background of Big Data

Abstract

With the arrival of the big data era, the public's way of life and thinking habits have undergone great changes, but also brought new opportunities and challenges to society. At the same time, college students are influenced by work, life, emotions and so on. These combined factors cause an increasing number of college students to have different degrees of psychological problems. The traditional health education of college students is mainly carried out according to the teacher's personal experience. This method is not timely and targeted, which leads to the mental health problems of college students that can not be effectively solved. This paper, combined with the characteristics of the background of the big data era, after analyzing and integrating the data obtained by WeChat , QQ , Microblog and other social platforms, uses the FCM algorithm to cluster the data, analyze and evaluate the the psychological status of students in time, predict the psychological problems of college students, and test through systematic music prevention method on the basis of clustering results. According to this process, when students have psychological problems, they can intervene as soon as possible, protect students' mental health, prevent the occurrence of psychological problems in advance, and promote students' physical and mental health. The health education proposed in this paper plays a very important role in the prevention of mental illness of college students under the background of big data. Through investigation, it is found that this educational method has an obvious effect on the majority of college students.