Apriori algorithm based prediction of students' mental health risks in the context of artificial intelligence.

Journal: Frontiers in public health

PMID: 40013053

Abstract

INTRODUCTION: The increasing prevalence of mental health challenges among college students necessitates innovative approaches to early identification and intervention. This study investigates the application of artificial intelligence (AI) techniques for predicting student mental health risks.

Authors

You Fu

School of Computer Engineering, Shanxi Vocational University of Engineering Science and Technology, Jinzhong, China.
Fang Ren

School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, China.
Jiantao Lin

School of Architecture, Tianjin University, Tianjin, China.

Keywords

Adolescent Adult Algorithms Artificial Intelligence China Female Humans Male Mental Disorders Mental Health Risk Assessment Risk Factors Students Universities Young Adult

External Resources

View on PubMed Access via DOI PubMed (40013053)

Apriori algorithm based prediction of students' mental health risks in the context of artificial intelligence.

Abstract

Authors

Keywords

External Resources

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