Path analysis of digitally empowered mental health services for university students
Caiyan Deng,
Meiling Liu
Abstract:We investigate the viability of using data mining technologies to identify college students’ mental health issues in light of the rising number of these issues. To address the limitations of the traditional Apriori algorithm in data mining of mental health problems, an improved Apriori algorithm is proposed using the classification rule mining method. The relationship between various factors and the mental health problems of college students is better explored by this algorithm. Ultimately, the mental health c… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.