Construction of an Intelligent Evaluation Model of Mental Health Based on Big Data

Abstract

In this paper, mental health data were used to evaluate the educational effects, in which the high and low scorers of three emotions, autism, positivity, and anxiety, are compared separately to explore the subtle differences in the long-term trends of the sensing traits of people with opposite characteristics. Based on the fusion of multiple kinds of sensing traits, the differences in physical and mental health assessment of positive and negative emotions by different fusion trait approaches are explored, and speech and behavioural traits are fused to build a physical and mental health assessment system for positive and negative emotions. Energy gravity uses physical distance to estimate the residual energy of nodes and considers the energy distribution of downstream nodes. The main work is to combine the data of mental health of higher education students using data mining techniques, to analyze the feasibility study of mental health education of college students. Relevant definitions, classifications, tasks, processes, and application areas of data mining techniques are introduced, and the basic principles of data mining are analyzed in detail. Taking the mental health assessment data of new students as the research object, the decision tree algorithm is used to construct a decision tree model for students with depressive symptoms, and an association rule algorithm is used to data mine the relationship between factors of psychological dimensions. Finally, it can find out the hidden laws and knowledge behind the data information and analyze the relationship that exists between psychological problems and students.

Mental Health Education in Primary and Secondary Schools Based on Deep Learning

“…People need to actively seek consultation with a psychiatrist and conduct tests to determine whether they have a disease. The main methods of diagnosis and treatment used by doctors are the form of communication and questionnaires, and the results of diagnosis are affected by the subjective judgment of doctors to some extent [4][5][6]. It is worth noting that the effect of traditional mental health monitoring methods in the prevention of mental health diseases depends greatly on the degree of people's attention to mental health.…”

Construction and Application of Dynamic Evaluation System and Educational Model of College Students' Mental Health

“…Mental Health (MH) education has become an integral part of moral education in schools, and the study of student's psychology is an important task for educators (1). Dynamic evaluation is a type of interactive evaluation used in education.…”

“…The dynamic evaluation procedure and techniques should also be easy and realistic. The psychological quality of college students and the construction model of the analytical hierarchical procedure, the analytic hierarchical procedure, the basic procedure of psychological evaluation of college students, can be obtained (1). The benefit of dynamic evaluation is that it does not ignore anything in evaluation models, but use the elements they include from time to time.…”

“…Some people are not ready to get treatment for their mental state, which quality affects their life in a lot of ways. The researcher finds that the person who has negative thoughts, pessimistic has low immunity power (1). Prayer and meditation help college students to present a quiet mind and feel calm.…”

“…It helps to avoid students' mental problems. Nowadays, early warning of psychological crisis is still traditional in most universities and the effect of early warning is minimal (1). The evaluation of the mental education of new-age college students is a large but closely joined fullness, and when analyzing the appropriate content, we must pay concentration to the fullness and systematic nature of the evaluation (15,(42)(43)(44).…”