Application of Decision Tree Algorithm in College Students' Mental Health Evaluation
Xiaocheng He · 2023
With social economy, the accelerated pace of life and work, and the increasingly fierce social competition, people are under increasing social pressure in life, study and work. Especially college students, psychological problems are becoming more and more prominent, and psychological diseases and obstacles are increasing. If they can not be solved in time, they may cause serious social consequences. Therefore, developing a set of psychological evaluation system for students is becoming more and more important for colleges and universities. The decision tree algorithm is used to evaluate the status of college students. The purpose is accuracy and effectiveness of decision tree algorithm in predicting depression, anxiety and suicidal ideation of college students. The design of this study is descriptive. This means that variables are measured at the same time or at different times, but not at the same time. In addition, it is important that there are no confounding variables between the two variables (that is, if one variable changes, the other will change). The establish the compulsive symptom decision model, and the data mining related technologies and algorithms are used to synthesize the mining and feed them back to the psychological counselors, providing a theoretical basis for the evaluation and intervention.