AI Medical Compendium Journal:
Alcohol (Fayetteville, N.Y.)

Showing 1 to 6 of 6 articles

Audio-based Deep Learning Algorithm to Identify Alcohol Inebriation (ADLAIA).

Alcohol (Fayetteville, N.Y.)
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...

Detection of prenatal alcohol exposure using machine learning classification of resting-state functional network connectivity data.

Alcohol (Fayetteville, N.Y.)
Fetal Alcohol Spectrum Disorder (FASD), a wide range of physical and neurobehavioral abnormalities associated with prenatal alcohol exposure (PAE), is recognized as a significant public health concern. Advancements in the diagnosis of FASD have been ...

Validation of an alcohol misuse classifier in hospitalized patients.

Alcohol (Fayetteville, N.Y.)
BACKGROUND: Current modes of identifying alcohol misuse in hospitalized patients rely on self-report questionnaires and diagnostic codes that have limitations, including low sensitivity. Information in the clinical notes of the electronic health reco...

Consumption of illegal home-made alcohol in Malawi: A neglected public health threat.

Alcohol (Fayetteville, N.Y.)
This study assessed the ethanol and methanol contents of homemade spirit (Kachasu) sold in Blantyre, Malawi. The likelihood of ethanol and methanol toxicity, respectively, was determined through Monte Carlo simulations using reported Kachasu intake v...

Persistent light to moderate alcohol intake and lung function: A longitudinal study.

Alcohol (Fayetteville, N.Y.)
Alcohol intake has been inconsistently associated with lung function levels in cross-sectional studies. The goal of our study was to determine whether longitudinally assessed light-to-moderate alcohol intake is associated with levels and decline of l...