Multivariable machine learning prediction of risky alcohol use in contemporary youth.
Background and aims: Risky alcohol use in young adulthood is a significant public health concern. Understanding the predictors of risky drinking during this period is essential for prevention. This study aimed to measure the predictive accuracy of ensemble machine learning and identify the most impo...
| Publicado en: | Addiction Vol. 120; no. 12; pp. 2404 - 2413 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Dec2025
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| Acceso en línea: | Ver este registro en EBSCOhost |