The Construction of Mental Health Prediction Model Based on Data Mining Technology

Abstract

With the rapid development of modern society, the problem of people's mental health has become more and more prominent, and it has become a key course that cannot be ignored in our lives. Paying attention to people's mental health, solving people's physical and mental health problems, and building an education curriculum system for people's physical and mental health is an important research topic related to the harmonious development of society, and it is also an ideal and belief to promote quality education. At present, our country's evaluation of people's mental health reflects the inadequacy of our country's mental health education. Predicting, categorizing and reflecting on people's mental health will help us further strengthen our mental health education and construct our mental health education. This paper studies the construction of a mental health prediction model based on data mining technology, and summarizes related factors affecting mental health on the basis of relevant literature data, as the independent variables predicted by the model below, and then analyzes the data mining technology for the model prediction experiment in the following text has laid the groundwork. According to the construction of the mental health prediction model based on data mining technology in this paper, the test results show that in terms of emotional management, they have better adaptability in the face of stress, healthier. In addition, because society has different expectations of male and female roles, women’s pressure coefficient has reached 2.01. This shows that women must work harder to succeed in society, and they will face greater pressure, that is, they are more prone to psychological problems.