Back to search

Article

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

2024-12-24

Abstract excerpt

<h4>Background</h4> Measuring 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. <h4>Methods</h4> We evaluate machine learning (ML) based predictions of AC using blood and urine-derived biomarkers. This research has...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
891343d2-5fa2-5eb6-bad7-d570a94dc93d
DOI
10.1101/2024.12.22.24319486
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Machine Learning Approaches to Predict Alcohol Consumption from Biomarkers in the UK BiobankDOI 10.1101/2024.12.22.24319486
Select a neighboring publication to make it the new centre.