Identifying risk profile for adolescent e-cigarette use: A sex-stratified machine learning analysis.
- DOI
- 10.1016/j.dadr.2026.100427
- Published
- 2026 Jun
- Container
- Drug and alcohol dependence reports
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.dadr.2026.100427,
title = {Identifying risk profile for adolescent e-cigarette use: A sex-stratified machine learning analysis.},
author = {Han DH and Li D and Pang RD and Huh J and Li M and Barrington-Trimis JL and Leventhal AM},
year = {2026},
journal = {Drug and alcohol dependence reports},
doi = {10.1016/j.dadr.2026.100427},
url = {https://doi.org/10.1016/j.dadr.2026.100427}
}RIS
TY - JOUR TI - Identifying risk profile for adolescent e-cigarette use: A sex-stratified machine learning analysis. AU - Han DH AU - Li D AU - Pang RD AU - Huh J AU - Li M AU - Barrington-Trimis JL AU - Leventhal AM PY - 2026 JO - Drug and alcohol dependence reports DO - 10.1016/j.dadr.2026.100427 UR - https://doi.org/10.1016/j.dadr.2026.100427 ER -
APA
DH, H., D, L., RD, P., J, H., M, L., JL, B., & AM, L. (2026). Identifying risk profile for adolescent e-cigarette use: A sex-stratified machine learning analysis.. Drug and alcohol dependence reports. https://doi.org/10.1016/j.dadr.2026.100427
Source records
- pubmed · retrieved 2026-09-26T05:59:27.118Z