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Application of MPP database and artificial intelligence system in online evaluation of college students' mental health.
Wang, Chen.
Afiliación
  • Wang C; College of Education and Science, Northwest Normal University, Lanzhou 730070, Gansu, China; Department of Public Security, Gansu Police Vocational College, Lanzhou 730046, Gansu, China. Electronic address: wangchen@fjmu.edu.cn.
Prev Med ; 173: 107580, 2023 08.
Article en En | MEDLINE | ID: mdl-37352939
ABSTRACT
Based on MPP database, we have conducted research and investigation on big data processing and analysis, and provided a good solution for big data. However, due to the large data storage requirements in the local file system may not be fully met. Therefore, the storage and management of big data, reliability, availability and scalability are more and more adopted by distributed file system. Therefore, MPP database based on distributed file system has become a research hotspot. In this paper, in the network control, through the control algorithm based on two kinds of artificial intelligence system, through the fuzzy PID controller to reduce the impact of system control performance. The dynamic BP network error correction and predictive PID controller are introduced into the system to reduce the influence. College Students' mental health education is an important part of the current training. Rapid and accurate online evaluation and analysis of College Students' mental health can provide reference for college students and effective help for the follow-up activities and consultation of the school, At the same time, it provides some basis for the balance of psychological scale and the revision of item setting. In this paper, MPP database and artificial intelligence system are introduced into the application of mental health assessment, which can effectively assess the mental health of college students, and thus promote the continuous development of assessment application.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Salud Mental Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Prev Med Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Salud Mental Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Prev Med Año: 2023 Tipo del documento: Article