Abstract
The authors used a decision tree classifier to reduce neuropsychological, behavioral and laboratory measures to a subset of measures that best predicted whether an individual with alcohol use disorder (AUD) seeks treatment. Clinical measures (N = 178) from 778 individuals with AUD were used to construct an alternating decision tree (ADT) with 10 measures that best classified individuals as treatment or not treatment-seeking for AUD. ADT's were validated by two methods: using cross-validation and an independent dataset (N = 236). For comparison, two other machine learning techniques were used as well as two linear models. The 10 measures in the ADT classifier were drinking behavior, depression and drinking-related psychological problems, as well as substance dependence. With cross-validation, the ADT classified 86% of individuals correctly. The ADT classified 78% of the independent dataset correctly. Only the simple logistic model was similar in accuracy; however, this model needed more than twice as many measures as ADT to classify at comparable accuracy. While there has been emphasis on understanding differences between those with AUD and controls, it is also important to understand, within those with AUD, the features associa...Continue Reading
References
Sep 1, 1992·Journal of Personality and Social Psychology·A H Buss, M Perry
Jul 1, 1988·Journal of Studies on Alcohol·J A HermosL O De Labry
Apr 1, 1988·British Journal of Addiction·L C SobellA Cancilla
Nov 1, 1982·Journal of Studies on Alcohol·H A Skinner, W J Sheu
Nov 1, 1995·Journal of Clinical Psychology·J H PattonE S Barratt
Jun 1, 1996·Alcoholism, Clinical and Experimental Research·D A Dawson
Dec 1, 1996·Acta Psychiatrica Scandinavica·M Mattila-EvendenM Asberg
Jul 1, 1997·Journal of Studies on Alcohol·B F Grant
Jul 27, 2001·Artificial Intelligence in Medicine·I Kononenko
Mar 5, 2003·Child Abuse & Neglect·David P BernsteinWilliam Zule
Mar 1, 2005·Addiction·Deborah A DawsonW June Ruan
Mar 1, 2005·Addiction·G BischofU John
Jul 22, 2005·Journal of Integrative Neuroscience·Alexander McFarlaneEvian Gordon
Aug 22, 2006·Drug and Alcohol Dependence·Emily CohenHenry R Kranzler
Dec 22, 2007·Substance Use & Misuse·J P ConnorJ Wiles
Nov 14, 2008·Journal of Substance Abuse Treatment·Sarah E ZemoreThomas K Greenfield
Sep 11, 2010·Drug and Alcohol Dependence·Mark A IlgenKara Zivin
Jun 4, 2015·JAMA Psychiatry·Bridget F GrantDeborah S Hasin
Dec 3, 2015·EBioMedicine·Philippe LaraméeJürgen Rehm
Jan 17, 2016·Biological Psychiatry·Laura E KwakoDavid Goldman
Jan 28, 2017·Alcoholism, Clinical and Experimental Research·Matthew C H RohnLorenzo Leggio
Apr 11, 2017·PloS One·Laura AcionStephan Arndt
Jul 1, 2017·The American Journal of Drug and Alcohol Abuse·Laura AcionStephan Arndt
Jan 5, 2019·The American Journal of Psychiatry·Laura E KwakoDavid Goldman
Citations
Apr 19, 2020·Current Opinion in Psychiatry·Elan BarenholtzWilliam Edward Hahn
Oct 1, 2020·Alcoholism, Clinical and Experimental Research·Carolina L Haass-KofflerLorenzo Leggio
Apr 23, 2020·Alcohol and Alcoholism : International Journal of the Medical Council on Alcoholism·Dylan K RichardsCraig A Field
Jul 4, 2020·Psychopharmacology·Allison R CokerJennifer M Mitchell
Apr 15, 2020·Addiction Biology·Lara A RayGeorge F Koob
Jun 14, 2021·Alcoholism, Clinical and Experimental Research·ReJoyce GreenLara A Ray
Sep 1, 2021·The American Journal of Drug and Alcohol Abuse·Alexandra VenegasLara A Ray
Sep 29, 2021·The American Journal of Drug and Alcohol Abuse·Kimberly GoodyearCarolina L Haass-Koffler