A method for predicting student psychological health based on behavioral time series analysis (opens in new tab)

BackgroundEarly identification of student psychological issues is essential for providing timely support and preventing safety incidents. However, distinguishing between normal behavioral variability and critical indicators of distress within complex, high-dimensional campus data remains a significant challenge. This study proposes a sensitive temporal modeling approach designed to detect abnormal behavioral patterns and predict psychological health states.MethodsWe developed a two-phase meth...