A machine learning model for the prediction of unhealthy alcohol use among women of childbearing age in Alabama.
Introduction: This study utilizes a machine learning model to predict unhealthy alcohol use treatment levels among women of childbearing age. Methods: In this cross-sectional study, women of childbearing age (n = 2397) were screened for alcohol use over a 2-year period as part of the AL-SBIRT (scree...
| Publicado en: | Alcohol & Alcoholism Vol. 59; no. 2; pp. 1 - 8 |
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| Autores principales: | , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Mar2024
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| Acceso en línea: | Ver este registro en EBSCOhost |