AIMC Topic: Alcoholic Intoxication

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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...
Humans Female Male Violence Alcoholic Intoxication Blood Alcohol Content Deep Learning Ethanol Alcohol Drinking
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Production of Bioactive Substances to Alleviates Hangover and Ethanol-Induced Liver Damage through Fermentation of Using .

Molecules (Basel, Switzerland) Feb 9, 2022
The purpose of this study is to evaluate the effect of the bioconversion products of extract fermented by (OEFL) on relieving hangovers and improving liver function. In addition, the bioactive substance of the OEFL, which alleviates hangover and et...
Animals Male Liver Cirrhosis, Alcoholic Plant Extracts Alcoholic Intoxication Rats Oenanthe Ethanol Rats, Sprague-Dawley Lactobacillaceae Coumaric Acids
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Modeling motivation for alcohol in humans using traditional and machine learning approaches.

Addiction biology Jul 29, 2020
Given the significant cost of alcohol use disorder (AUD), identifying risk factors for alcohol seeking represents a research priority. Prominent addiction theories emphasize the role of motivation in the alcohol seeking process, which has largely bee...
Humans Self Administration Reinforcement, Psychology Craving Ethanol Reward Motivation Alcoholic Intoxication Breath Tests Models, Psychological Young Adult Adult Male Machine Learning Female
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Comparing Logistic Regression Models with Alternative Machine Learning Methods to Predict the Risk of Drug Intoxication Mortality.

International journal of environmental research and public health Jan 31, 2020
(1) Medical research has shown an increasing interest in machine learning, permitting massive multivariate data analysis. Thus, we developed drug intoxication mortality prediction models, and compared machine learning models and traditional logistic ...
Neural Networks, Computer Machine Learning Republic of Korea Mortality Alcoholic Intoxication Risk Assessment Logistic Models Area Under Curve
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Age at drinking onset, age at first intoxication, and delay to first intoxication: Assessing the concurrent validity of measures of drinking initiation with alcohol use and related problems.

Addictive behaviors Dec 21, 2017
INTRODUCTION: Drinking at an early age (AO) and quickly progressing to drinking to intoxication (Delay=Age of Intoxication[AI]-AO) confer risk for alcohol use and alcohol-related problems. However, inconsistencies exist in the literature, which may r...
Connecticut Age Factors Underage Drinking Age of Onset Humans Alcohol Drinking Linear Models Female Alcoholic Intoxication Binge Drinking Reproducibility of Results Male Adolescent
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Identifying Future Drinkers: Behavioral Analysis of Monkeys Initiating Drinking to Intoxication is Predictive of Future Drinking Classification.

Alcoholism, clinical and experimental research Feb 16, 2017
BACKGROUND: The Monkey Alcohol Tissue Research Resource (MATRR) is a repository and analytics platform for detailed data derived from well-documented nonhuman primate (NHP) alcohol self-administration studies. This macaque model has demonstrated cate...
Alcoholic Intoxication Self Administration Macaca mulatta Female Animals Male Ethanol Motivation Haplorhini Machine Learning Forecasting
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Cytokine Changes following Acute Ethanol Intoxication in Healthy Men: A Crossover Study.

Mediators of inflammation Dec 20, 2016
Alcohol is a known modulator of the innate immune system. Owing to the absence of human studies, alcohol's effect on circulating cytokine profile remains unclear. We investigated the effect of acute high dose alcohol consumption on systemic cytokine ...
Alcoholic Intoxication Humans Cross-Over Studies Cytokines Healthy Volunteers Young Adult Alcoholic Beverages Ethanol Adult Fasting Double-Blind Method Male Cohort Studies Middle Aged Time Factors
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Neural networks for identifying drunk persons using thermal infrared imagery.

Forensic science international Apr 27, 2015
Neural networks were tested on infrared images of faces for discriminating intoxicated persons. The images were acquired during controlled alcohol consumption by forty-one persons. Two different experimental approaches were thoroughly investigated. I...
Thermography Infrared Rays Alcoholic Intoxication Humans Neural Networks, Computer Female Male Face Body Temperature
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