Design of Mental Health Consulting Management System Based on Apriori Algorithm

Mental health is a state of mental health characterized by common but inconsistent signs, such as positive emotions, satisfaction and good interpersonal relationships. Mental health is essential for human survival, because it enables us to work normally in daily life and perform our duties effectively. The existing mental health education consulting management system still has some shortcomings in terms of security and operating efficiency. Considering the system user's requirements for operation, consultation, information processing and confidentiality functions, the system is designed from the client and server modules, and two-way communication is used between the two modules. The user registers or logs in the account, submits the consultation information from the client through online consultation or scale test, after the consultation information is transferred to the server, the data is preprocessed at the server, the user psychological consultation database is divided, and the divided data is mined by using Apriori algorithm for association rules. When mental health is damaged by potential obstacles or diseases, mental illness will occur. Mental illness will have a serious impact on individuals’ personal, social and work life. Therefore, effective management of mental disorders requires early detection and diagnosis of mental disorders and provision of quality services for people with mental disorders.