Model innovation of students' mental health education from the perspective of big data

Abstract To improve the effect of college students' mental health education, and to meet the needs of mental health education data processing, this article combines big data technology and gene regulation ideas to propose a mental health education data processing algorithm based on big data technology and immunotherapy gene regulation network. Moreover, this article uses improved algorithms to extract features from mental health education network data, controls the problems in mental health education in real‐time, and proposes targeted improvement strategies. In addition, this article combines the improved algorithm to construct a mental health education system based on big data technology and immunotherapy gene regulation network are combined for an improved algorithm to process mental health education data. Finally, this article verifies the effectiveness of the system through experimental research.