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...

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Publicado en:	Alcohol & Alcoholism Vol. 59; no. 2; pp. 1 - 8
Autores principales:	Johnson, Karen A, McDaniel, Justin T, Okine, Joana, Graham, Heather K, Robertson, Ellen T, McIntosh, Shanna, Wallace, Juliane, Albright, David L
Formato:	pictorial research tables/charts Journal Article
Publicado:	Oxford University Press / USA Mar2024
Acceso en línea:	Ver este registro en EBSCOhost