Using Machine Learning to Classify Individuals With Alcohol Use Disorder Based on Treatment Seeking Status

EClinicalMedicine
Mary R LeeLorenzo Leggio

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

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Citations

Apr 19, 2020·Current Opinion in Psychiatry·Elan BarenholtzWilliam Edward Hahn
Apr 23, 2020·Alcohol and Alcoholism : International Journal of the Medical Council on Alcoholism·Dylan K RichardsCraig A Field
Apr 15, 2020·Addiction Biology·Lara A RayGeorge F Koob
Jun 14, 2021·Alcoholism, Clinical and Experimental Research·ReJoyce GreenLara A Ray

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Software Mentioned

R script
Waikato Environment for Knowledge Analysis ( WEKA )
JMP Statistical Discovery
WEKA

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Alcohol Use Disorder

Alcohol use disorder involves a pattern of alcohol consumption that includes compulsive use and a loss of control over intake of alcohol. The impact on physical health, socioeconomic factors, and psychiatric health is profound. Find the latest research on alcohol use disorder here.