Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/6554
Title: Development and evaluation of a risk algorithm predicting alcohol dependence after early onset of regular alcohol use
Authors: Bharat, Chrianna
Glantz, Meyer D
Aguilar-Gaxiola, Sergio
Alonso, Jordi
Bruffaerts, Ronny
Bunting, Brendan
Caldas-de-Almeida, José Miguel
Cardoso, Graça
Chardoul, Stephanie
de Jonge, Peter
Gureje, Oye
Haro, Josep Maria
Harris, Meredith G
Karam, Elie G.
Kawakami, Norito
Kiejna, Andrzej
Kovess-Masfety, Viviane
Lee, Sing
McGrath, John J
Moskalewicz, Jacek
Navarro-Mateu, Fernando
Rapsey, Charlene
Sampson, Nancy A
Scott, Kate M
Tachimori, Hisateru
Ten Have, Margreet
Vilagut, Gemma
Wojtyniak, Bogdan
Xavier, Miguel
Kessler, Ronald C
Degenhardt, Louisa
Affiliations: Faculty of Medicine 
Keywords: Adolescence
Alcohol use
Calibration
Dependence
Discrimination
Machine learning
Issue Date: 2023-05
Publisher: Wiley Online Library
Part of: Addiction
Abstract: 
Likelihood of alcohol dependence (AD) is increased among people who transition to greater levels of alcohol involvement at a younger age. Indicated interventions delivered early may be effective in reducing risk, but could be costly. One way to increase cost-effectiveness would be to develop a prediction model that targeted interventions to the subset of youth with early alcohol use who are at highest risk of subsequent AD.
URI: https://scholarhub.balamand.edu.lb/handle/uob/6554
ISSN: 09652140
DOI: 10.1111/add.16122
Ezproxy URL: Link to full text
Type: Journal Article
Appears in Collections:Faculty of Medicine

Show full item record

SCOPUSTM   
Citations

3
checked on Apr 20, 2024

Record view(s)

24
checked on Apr 23, 2024

Google ScholarTM

Check

Dimensions Altmetric

Dimensions Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.