Machine Learning Algorithms to Predict Heavy Episodic Drinking in the United States Using Survey Data

The strong discriminative ability of our models shows that even a limited number of well-chosen features can yield robust predictions, highlighting the potential of MLAs for modelling health behaviours. Integrating our models into simulation frameworks can help model HED and test scenarios, leading to effective policies. Future studies should incorporate objective sources for external validation and investigate systematic biases to improve predictive accuracy.

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Publication Details

Journal
Drug and Alcohol Review
Published
2025-11-04
DOI
https://doi.org/10.1111/dar.70065
Primary Topic
Substance Abuse Treatment and Outcomes
Type
article
Field-Weighted Citation Impact
0.00

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article

Machine Learning Algorithms to Predict Heavy Episodic Drinking in the United States Using Survey Data

Erik Spence, Charlotte Probst, Jürgen T. Rehm, Laura Llamosas‐Falcón et al.
Drug and Alcohol Review
Substance Abuse Treatment and Outcomes
article

Machine Learning Algorithms to Predict Heavy Episodic Drinking in the United States Using Survey Data

Erik Spence, Charlotte Probst, Jürgen T. Rehm, Laura Llamosas‐Falcón, Kevin D. Shield
article en

Abstract

The strong discriminative ability of our models shows that even a limited number of well-chosen features can yield robust predictions, highlighting the potential of MLAs for modelling health behaviours. Integrating our models into simulation frameworks can help model HED and test scenarios, leading to effective policies. Future studies should incorporate objective sources for external validation and investigate systematic biases to improve predictive accuracy.

Drug and Alcohol ReviewVol. 45(1)
Centre for Addiction and Mental Health (CA), Universität Hamburg (DE), University of Toronto (CA), Structural Genomics Consortium (CA), University Medical Center Hamburg-Eppendorf (DE), Public Health Ontario (CA), Public Health Agency (GB)
National Institutes of Health
Openalex Percentile: Top 57%
Substance Abuse Treatment and Outcomes
DOIOpen Access PDFOpenAlex
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Machine Learning Algorithms to Predict Heavy Episodic Drinking in the United States Using Survey Data — Erik Spence, Charlotte Probst, et al. · Drug and Alcohol Review (2025) | TGRS Research Map | TGRS