Utility of machine learning approaches to identify behavioral markers for substance use disorders: Impulsivity dimensions as predictors of current cocaine dependence

Utility of machine learning approaches to identify behavioral markers for substance use disorders: Impulsivity dimensions as predictors of current cocaine dependence

Background: Identifying objective and accurate markers of cocaine dependence (CD) can innovate its prevention and treatment. Existing evidence suggests that CD is characterized by a wide range of cognitive deficits, most notably by increased impulsivity. Impulsivity is multidimensional and it is unc...

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Bibliographic Details
Main Authors: Woo-Young eAhn, Divya eRamesh, Frederick G Moeller, Jasmin eVassileva
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-03-01
Series:Frontiers in Psychiatry
Subjects:
Cocaine
Addiction
impulsivity
machine learning
substance dependence
LASSO
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyt.2016.00034/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fpsyt.2016.00034/full

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