AIMC Topic: Alcohol Drinking

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Racial/Ethnic Disparities in Rates of Traumatic Injury in Arizona, 2011-2012.

Public health reports (Washington, D.C. : 1974) Aug 22, 2016
OBJECTIVE: The purpose of this study was to compare the rates of traumatic injury among five racial/ethnic groups in Arizona and to identify which mechanisms and intents of traumatic injury were predominant in each group.
Intention Ethnicity Alcohol Drinking Health Status Disparities Residence Characteristics Humans Racial Groups Cause of Death Retrospective Studies Wounds and Injuries Arizona
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The utility of automated measures of ocular metrics for detecting driver drowsiness during extended wakefulness.

Accident; analysis and prevention Dec 10, 2015
Slowed eyelid closure coupled with increased duration and frequency of closure is associated with drowsiness. This study assessed the utility of two devices for automated measurement of slow eyelid closure in a standard poor performance condition (al...
Female Young Adult Adult Male Adolescent Signal Processing, Computer-Assisted Humans Computer Simulation Blinking Electrooculography Sleep Deprivation Sleep Stages Automobile Driving Wakefulness Alcohol Drinking Reaction Time Attention
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The application of data mining techniques to oral cancer prognosis.

Journal of medical systems Mar 22, 2015
This study adopted an integrated procedure that combines the clustering and classification features of data mining technology to determine the differences between the symptoms shown in past cases where patients died from or survived oral cancer. Two ...
Sex Factors Survival Analysis Smoking Alcohol Drinking Decision Trees Mouth Neoplasms Data Mining Logistic Models Age Factors Humans Neural Networks, Computer
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Development and preliminary testing of a secure large language model-based chatbot for brief alcohol counseling in young adults.

Drug and alcohol dependence Jul 1, 2025
OBJECTIVE: Young adults face elevated risks from alcohol use yet encounter significant barriers to accessing evidence-based interventions. Large language models (LLMs) represent a promising advancement for delivering personalized behavioral intervent...
Large Language Models Alcohol Drinking Language Counseling Adult Female Adolescent Humans Male Generative Artificial Intelligence Prospective Studies Motivational Interviewing Pilot Projects Young Adult
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Verification and comparison of three prediction models of ischemic stroke in young adults based on the back propagation neural networks.

Medicine Mar 19, 2021
This work aims to explore risk factors for ischemic stroke in young adults and analyze the Traditional Vascular Risk Factors Model based on age, hypertension, diabetes, smoking history, and drinking history. Further, the Lipid Metabolism Model was an...
Humans Neural Networks, Computer Age Factors Lipoproteins Predictive Value of Tests Hypertension Kidney Function Tests Smoking Alcohol Drinking Clinical Decision Rules Ischemic Stroke Factor Analysis, Statistical Area Under Curve Male Middle Aged Risk Assessment Adolescent Risk Factors Acute Kidney Injury ROC Curve Young Adult Female Diabetes Mellitus, Type 2 Adult
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A Machine Learning Approach to Identification of Unhealthy Drinking.

Journal of the American Board of Family Medicine : JABFM Jan 1, 2020
INTRODUCTION: Unhealthy drinking is prevalent in the United States, and yet it is underidentified and undertreated. Identifying unhealthy drinkers can be time-consuming and uncomfortable for primary care providers. An automated rule for identificatio...
Male Logistic Models Nutrition Surveys Female Adult Alcohol Drinking United States Mass Screening Support Vector Machine Humans Machine Learning
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