Predicting substance use behaviors among students taking university entrance test
A cross-sectional study with machine learning techniques
Bibliographic Data
| ID | 21625388 |
|---|---|
| Authors | Md Emran Hasan (0000-0003-0221-1090, Nanjing University of Science and Technology), Mohammed A Mamun (0000-0002-1728-8966, University of South Asia), Nitai Roy (0000-0002-8454-6128, Patuakhali Science and Technology University), Moneerah Mohammad Almerab (0000-0003-4987-0309, Princess Nourah bint Abdulrahman University), Md Shakhaoat Hossain (0000-0001-8932-7349, Jahangirnagar University), Firoj Al-Mamun (0000-0003-4611-9624, University of South Asia, corresponding author) |
| Year | 2025 |
| Volume | 44 |
| Issue | 9 |
| Pages | 8015-8031 |
| Publication date | 2025-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Current Psychology (JOURNAL) |
| Journal identifiers | ISSN: 1046-1310 • E-ISSN: 1936-4733 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s12144-024-06934-1 |
| OpenAlex | W4404599036 |
| Language | EN |
| References cited | 36 |
Cross-sectional study · Mathematics education · Statistics · Artificial Intelligence in Healthcare · COVID-19 and Mental Health · Psychology · Social Psychology · Substance Abuse Treatment and Outcomes
Interventions for Adolescent Substance Abuse
A Brief Measure for Assessing Generalized Anxiety Disorder
The PHQ-9
A cross-sectional study of smoking and depression among US adults
Machine‐Learning prediction of comorbid substance use disorders in ADHD youth using Swedish registry data
Rural-urban disparities in smoking patterns among Chinese adults
Clustering of health risk behaviors among school-going adolescents in Mymensingh district, Bangladesh
Sociodemographic inequalities in substance use among young people in Vietnam
Suicidal behaviors among high school graduates with preexisting mental health problems
| Highly cited | No |
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