A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is
Lecture Notes in Computer Science
To build a predicting model for mental health status based on Web Usage Behavior, we collect data from 571 first-year graduate students using our own Internet Usage Behavior Check-List (IUBCL) and Psychological Health Inventory (PHI). We build six logistic regression models, in which Web usage behavior features are as independent variables while mental health status as dependent ones. We find that the accuracy is about 72.9%−83.1%, which demonstrates it is applicable and feasible to identifydoi:10.1007/978-3-642-23620-4_22 fatcat:kkuo5zjdl5bydlvtpfxvhivocy