A study on the Construction and Optimization of a User Mental Health Application Based on the Background of Big Data

As digital technology continues to evolve and mature, mobile technology in particular is increasingly being adopted. Research is emerging on mobile applications that use mobile technology to provide mental health information to the population or for therapeutic intervention services for mental disorders. In the context of the development of Internet technology, mobile mental health services, which belong to the field of e-healthcare, refer to the provision of health care services or support on mobile devices such as cell phones and tablets, through text messaging or specialized apps to individuals with health problems such as stress, anxiety, depression, substance abuse, and so on. This paper argues from the urgency in the use of mobile apps for mental health education and mental disorder intervention, the current problems facing the development of mental health apps, the programs that have been used, and the possible programs to explore ways to improve the user engagement of mental health apps. And at the same time combined with the basic performance of big data algorithms for the study of research support, in the context of the existing Internet, the computer's big data base data support for psychological research to play a role in promoting the role.