This article proposes a method for monitoring the mental health status of college students based on machine learning models. By integrating multidimensional data such as psychological assessment questionnaires and daily behaviour data, and using machine learning techniques such as support vector machine, random forests, and deep learning algorithms, a prediction model that can efficiently identify the mental health status of college students is constructed. This model improves the quality of data and the accuracy of model predictions through steps such as feature engineering and data preproces...
