Machine learning-based analysis of adolescent gambling factors.

Journal: Journal of behavioral addictions

PMID: 33011712

Abstract

BACKGROUND AND AIMS: Problem gambling among adolescents has recently attracted attention because of easy access to gambling in online environments and its serious effects on adolescent lives. We proposed a machine learning-based analysis method for predicting the degree of problem gambling.

Authors

Wonju Seo

Department of Creative IT engineering, POSTECH, 77, Cheongam-Ro, Nam-Gu, Pohang, 37673, Republic of Korea.
Namho Kim

1Department of Creative IT Engineering, Pohang University of Science and Technology, 77 Cheongam-ro, Nam-gu, Pohang, 37673, Republic of Korea.
Sang-Kyu Lee

2Department of Psychology, College of Medicine, Hallym University, 1 Hallymdaehak-gil, Chuncheon, 24252, Republic of Korea.
Sung-Min Park

Department of Creative IT engineering, POSTECH, 77, Cheongam-Ro, Nam-Gu, Pohang, 37673, Republic of Korea. sungminpark@postech.ac.kr.

Keywords

Adolescent Adolescent Behavior Female Gambling Health Surveys Humans Machine Learning Male Severity of Illness Index Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (33011712)

Machine learning-based analysis of adolescent gambling factors.

Abstract

Authors

Keywords

External Resources

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