Predicting alcohol dependence treatment outcomes: a prospective comparative study of clinical psychologists versus 'trained' machine learning models.

Martyn SymonsGerald F X FeeneyMarcus R Gallagher Ross M cD Young Jason P Connor

Published in: Addiction (Abingdon, England) (2020)

Machine learning models and logistic regression appear to be more accurate than psychologists at predicting treatment outcomes in an abstinence programme for alcohol dependence, but sensitivity is low.

Keyphrases

machine learning
artificial intelligence
alcohol consumption
big data
high resolution
deep learning
resistance training
mass spectrometry