Predicting the psychological health status of vocational college students by BP neural network

In this study, we aim to explore a method to predict mental health issues among vocational college students based on big data and deep learning. We collect various historical data, including student psychological survey data, social support statistics, and personal basic information. By utilizing data preprocessing and deep learning techniques, we employ a BP neural network to consider the heterogeneity of the data and explore potential correlations among these factors. Ultimately, accurate and in-depth predictions of psychological issues among higher vocational students are achieved, providing effective support for their mental health management.