Application of Big Data in Depression Screening and Early Warning

Abstract:
With the development of science and technology, big data technology has become a powerful research tool in psychology. Depression is a kind of common but serious mental illness. The early detection of depression is of great importance for the maintenance of individual mental health. However, the traditional scale screening method has limitations, lag, passivity, and other disadvantages. The addition of big data makes it possible to innovate the screening method of depression. By studying the relevant factors of depression through big data and using artificial intelligence to build a depression screening model, we can improve the screening efficiency, find key groups as soon as possible, provide psychological assistance, establish a complete and mature rescue system, and effectively prevent potential risks.