Abstract
Mental health problems will seriously damage social harmony and family happiness. This paper proposes a study on mental health intelligence assessment based on multisource information fusion. Combining the data description of UPI and SCL-90 and the corresponding task requirement analysis, the multisource information fusion visualization based on the Circos diagram is designed and realized, and the parallel coordinate visualization is established. The MDS algorithm is used to project multidimensional survey objects into low-dimensional visualization space, and the actual UPI and SCL-90 questionnaire data for 278 students of a certain major at a university provided by the cooperative unit are used. The results show that the mental health problems of student A are serious, and the symptoms of depression and schizophrenia are prominent, so it is necessary to seek psychological experts for corresponding treatment in time. By contrast, student B's mental health problems are also serious, and the user judges that student B still needs further diagnosis and treatment. The correlation analysis results of multisource information fusion are roughly the same as the actual situation, which is convincing. Therefore, the multisource mental health information fusion of college students has a certain correlation and complementarity.
Highlights
Traditional mental health assessment, especially large-scale mental health assessment, mostly adopts the questionnaire survey method based on a self-rating scale [1]. is method is not timely, and the current psychological state of the subjects who fill in the self-rating scale has a great influence, and its invasive characteristics will cause the resistance of the subjects and increase the false alarm rate
Design and realize multisource information fusion visualization based on the Circos diagram, establish parallel coordinate visualization, use the MDS algorithm to project multidimensional survey objects into low-dimensional Journal of Healthcare Engineering visualization space, and use the actual UPI and SCL-90 information fusion data provided by the cooperative unit for 278 students of a certain major at a university
It shows that the respondents are psychologically healthy and have no symptoms listed on the scale; a score of 4.5–5.0 indicates that the frequency and intensity of symptoms are very serious [8]. is paper verifies that the data of the visual analysis system comes from the real information fusion data of UPI and SCL-90 accepted by 278 college students in a certain university in the same period. e data includes the basic information of all students, the answers of UPI and SCL-90 questionnaires, the scores of four mental health categories of UPI data, and the scores of nine factors of SCL90 data
Summary
Mental Health Education and Counseling Center, Hubei Normal University, Huangshi 435000, China. Is paper proposes a study on mental health intelligence assessment based on multisource information fusion. Combining the data description of UPI and SCL-90 and the corresponding task requirement analysis, the multisource information fusion visualization based on the Circos diagram is designed and realized, and the parallel coordinate visualization is established. E MDS algorithm is used to project multidimensional survey objects into low-dimensional visualization space, and the actual UPI and SCL-90 questionnaire data for 278 students of a certain major at a university provided by the cooperative unit are used. E results show that the mental health problems of student A are serious, and the symptoms of depression and schizophrenia are prominent, so it is necessary to seek psychological experts for corresponding treatment in time. Erefore, the multisource mental health information fusion of college students has a certain correlation and complementarity Student B’s mental health problems are serious, and the user judges that student B still needs further diagnosis and treatment. e correlation analysis results of multisource information fusion are roughly the same as the actual situation, which is convincing. erefore, the multisource mental health information fusion of college students has a certain correlation and complementarity
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
