AIMC Topic: Alcohol Drinking
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Comparative analysis of functional network dynamics in high and low alcohol preference mice.
Experimental neurology
Apr 4, 2025
Individual variability preference is a typical characteristic of alcohol drinking behaviors, with a higher risk for the development of alcohol use disorders (AUDs) in high alcohol preference (HP) populations. Here, we created a map of alcohol-related...
A prediction model based on machine learning: prognosis of HBV-induced HCC male patients with smoking and drinking habits after local ablation treatment.
Frontiers in immunology
Mar 28, 2025
BACKGROUND: Liver cancer, particularly hepatocellular carcinoma (HCC), is a major health concern globally and in China, possibly shows recurrence after ablation treatment in high-risk patients. This study investigates the prognosis of early-stage mal...
Remote sensing of alcohol consumption using machine learning speckle pattern analysis.
Journal of biomedical optics
Mar 4, 2025
SIGNIFICANCE: Alcohol consumption monitoring is essential for forensic and healthcare applications. While breath and blood alcohol concentration sensors are currently the most common methods, there is a growing need for faster, non-invasive, and more...
Development of deep learning auto-encoder algorithms for predicting alcohol use in Korean adolescents based on cross-sectional data.
Social science & medicine (1982)
Jan 10, 2025
Alcohol is a highly addictive substance, presenting significant global public health concerns, particularly among adolescents. Previous studies have been limited by traditional research methods, making it challenging to encompass diverse risk factors...
Machine learning based on alcohol drinking-gut microbiota-liver axis in predicting the occurrence of early-stage hepatocellular carcinoma.
BMC cancer
Nov 29, 2024
BACKGROUND: Alcohol drinking and gut microbiota are related to hepatocellular carcinoma (HCC), but the specific relationship between them remains unclear.
Using machine learning-based algorithms to construct cardiovascular risk prediction models for Taiwanese adults based on traditional and novel risk factors.
BMC medical informatics and decision making
Jul 22, 2024
OBJECTIVE: To develop and validate machine learning models for predicting coronary artery disease (CAD) within a Taiwanese cohort, with an emphasis on identifying significant predictors and comparing the performance of various models.
Person-specific and pooled prediction models for binge eating, alcohol use and binge drinking in bulimia nervosa and alcohol use disorder.
Psychological medicine
May 22, 2024
BACKGROUND: Machine learning could predict binge behavior and help develop treatments for bulimia nervosa (BN) and alcohol use disorder (AUD). Therefore, this study evaluates person-specific and pooled prediction models for binge eating (BE), alcohol...
Leading consumption patterns of psychoactive substances in Colombia: A deep neural network-based clustering-oriented embedding approach.
PloS one
Aug 18, 2023
The number of health-related incidents caused using illegal and legal psychoactive substances (PAS) has dramatically increased over two decades worldwide. In Colombia, the use of illicit substances has increased up to 10.3%, while the consumption alc...
Audio-based Deep Learning Algorithm to Identify Alcohol Inebriation (ADLAIA).
Alcohol (Fayetteville, N.Y.)
Dec 28, 2022
BACKGROUND: Acute alcohol intoxication impairs cognitive and psychomotor abilities leading to various public health hazards such as road traffic accidents and alcohol-related violence. Intoxicated individuals are usually identified by measuring their...
Liver enzymes, alcohol consumption and the risk of diabetes: the Suita study.
Acta diabetologica
Aug 16, 2022
AIM: We aimed to investigate the combined impact of liver enzymes and alcohol consumption on the diabetes risk.
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