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Machine Learning Approaches to Predict Alcohol Consumption from Biomarkers in the UK Biobank

2024-12-24 psychiatry and clinical psychology Title + abstract only
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BackgroundMeasuring and estimating alcohol consumption (AC) is important for individual health, public health, and Societal benefits. While self-report and diagnostic interviews are commonly used, incorporating biological-based indices can offer a complementary approach. MethodsWe evaluate machine learning (ML) based predictions of AC using blood and urine-derived biomarkers. This research has been conducted using the UK Biobank (UKB) Resource. In addition to the prediction of the number of alc...

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