AIMC Topic: Alcoholism
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Mobile phone sensors and supervised machine learning to identify alcohol use events in young adults: Implications for just-in-time adaptive interventions.
Addictive behaviors
Nov 27, 2017
BACKGROUND: Real-time detection of drinking could improve timely delivery of interventions aimed at reducing alcohol consumption and alcohol-related injury, but existing detection methods are burdensome or impractical.
An EEG-based functional connectivity measure for automatic detection of alcohol use disorder.
Artificial intelligence in medicine
Nov 21, 2017
BACKGROUND: The abnormal alcohol consumption could cause toxicity and could alter the human brain's structure and function, termed as alcohol used disorder (AUD). Unfortunately, the conventional screening methods for AUD patients are subjective and m...
Automation
Alcoholism
Brain Waves
ROC Curve
Logistic Models
Support Vector Machine
Predictive Value of Tests
Area Under Curve
Bayes Theorem
Electroencephalography
Signal Processing, Computer-Assisted
Humans
Male
Brain
Middle Aged
Female
Case-Control Studies
Reproducibility of Results
Diagnosis, Computer-Assisted
Aged
Adult
Alcoholism Detection by Data Augmentation and Convolutional Neural Network with Stochastic Pooling.
Journal of medical systems
Nov 17, 2017
Alcohol use disorder (AUD) is an important brain disease. It alters the brain structure. Recently, scholars tend to use computer vision based techniques to detect AUD. We collected 235 subjects, 114 alcoholic and 121 non-alcoholic. Among the 235 imag...
Canonical variate regression.
Biostatistics (Oxford, England)
Feb 9, 2016
In many fields, multi-view datasets, measuring multiple distinct but interrelated sets of characteristics on the same set of subjects, together with data on certain outcomes or phenotypes, are routinely collected. The objective in such a problem is o...
PsyGeNET: a knowledge platform on psychiatric disorders and their genes.
Bioinformatics (Oxford, England)
May 11, 2015
UNLABELLED: PsyGeNET (Psychiatric disorders and Genes association NETwork) is a knowledge platform for the exploratory analysis of psychiatric diseases and their associated genes. PsyGeNET is composed of a database and a web interface supporting data...
Support vector machine and fuzzy C-mean clustering-based comparative evaluation of changes in motor cortex electroencephalogram under chronic alcoholism.
Medical & biological engineering & computing
Mar 13, 2015
In this study, the magnitude and spatial distribution of frequency spectrum in the resting electroencephalogram (EEG) were examined to address the problem of detecting alcoholism in the cerebral motor cortex. The EEG signals were recorded from chroni...
Augmenting Common Spatial Patterns to deep learning networks for improved alcoholism detection using EEG signals.
Computers in biology and medicine
Jul 1, 2025
One of the main risk factors for numerous health problems is excessive drinking. Alcoholism is a severe disorder that can affect a person's thinking and cognitive abilities. Early detection of alcoholism can help the subject regain control over their...
Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder.
Journal of affective disorders
Jun 15, 2025
BACKGROUND: Early diagnosis and treatment of mental illnesses is hampered by the lack of reliable markers. This study used machine learning models to uncover diagnostic and risk prediction markers for eating disorders (EDs), major depressive disorder...
Identifying responders to gabapentin for the treatment of alcohol use disorder: an exploratory machine learning approach.
Alcohol and alcoholism (Oxford, Oxfordshire)
Mar 25, 2025
BACKGROUND: Gabapentin, an anticonvulsant medication, has been proposed as a treatment for alcohol use disorder (AUD). A multisite study tested gabapentin enacarbil extended-release (GE-XR; 600 mg/twice a day), a prodrug formulation, combined with a ...
Cathodal Transcranial Direct Current Stimulation Does Not Change Implicit Associations Against Alcohol in Alcohol Use Disorder: A Preregistered Clinical Trial.
Addiction biology
Mar 1, 2025
Addictive behaviour is shaped by the dynamic interaction of implicit, bottom-up and explicit, top-down cognitive processes. In alcohol use disorder (AUD), implicit alcohol-related associations have been shown to predict increased subsequent alcohol c...
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