AIMC Topic: Substance-Related Disorders

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Rapid Assessment of Opioid Exposure and Treatment in Cities Through Robotic Collection and Chemical Analysis of Wastewater.

Journal of medical toxicology : official journal of the American College of Medical Toxicology Jan 9, 2020
INTRODUCTION: Accurate data regarding opioid use, overdose, and treatment is important in guiding community efforts at combating the opioid epidemic. Wastewater-based epidemiology (WBE) is a potential method to quantify community-level trends of opio...
Mass Spectrometry Water Pollutants, Chemical Robotics Substance-Related Disorders Middle Aged Environmental Monitoring Urban Health North Carolina Naloxone Narcotic Antagonists Opioid Epidemic Feasibility Studies Humans Analgesics, Opioid Opioid-Related Disorders Solid Phase Extraction Wastewater Female Adult Male
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Motivational interviewing and culture for urban Native American youth (MICUNAY): A randomized controlled trial.

Journal of substance abuse treatment Dec 28, 2019
To date, few programs that integrate traditional practices with evidence-based practices have been developed, implemented, and evaluated with urban American Indians/Alaska Natives (AI/ANs) using a strong research design. The current study recruited u...
Substance-Related Disorders American Indian or Alaska Native Alaska Natives Humans Motivational Interviewing Adolescent Indians, North American
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Out damn bot, out: Recruiting real people into substance use studies on the internet.

Substance abuse Dec 10, 2019
While the Internet has become a popular and effective strategy for recruiting substance users into research, there is a large risk of recruiting duplicate individuals and Internet bots that pose as humans. Strategies to mitigate these issues are outl...
Clinical Studies as Topic Online Systems Internet-Based Intervention Robotics Substance-Related Disorders Humans Internet Patient Selection
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Analysis of substance use and its outcomes by machine learning I. Childhood evaluation of liability to substance use disorder.

Drug and alcohol dependence Oct 22, 2019
BACKGROUND: Substance use disorder (SUD) exacts enormous societal costs in the United States, and it is important to detect high-risk youths for prevention. Machine learning (ML) is the method to find patterns and make prediction from data. We hypoth...
Substance-Related Disorders Outcome Assessment, Health Care Psychological Techniques Adult Male Severity of Illness Index Adolescent Child ROC Curve Longitudinal Studies Predictive Value of Tests Machine Learning Female Reproducibility of Results Young Adult Humans
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Analysis of substance use and its outcomes by machine learning: II. Derivation and prediction of the trajectory of substance use severity.

Drug and alcohol dependence Oct 1, 2019
BACKGROUND: This longitudinal study explored the utility of machine learning (ML) methodology in predicting the trajectory of severity of substance use from childhood to thirty years of age using a set of psychological and health characteristics.
Humans Machine Learning Female Reproducibility of Results Adolescent Child Longitudinal Studies Predictive Value of Tests Young Adult Adult Male Severity of Illness Index Substance-Related Disorders Psychological Techniques
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A Machine Learning Approach for the Detection and Characterization of Illicit Drug Dealers on Instagram: Model Evaluation Study.

Journal of medical Internet research Jun 15, 2019
BACKGROUND: Social media use is now ubiquitous, but the growth in social media communications has also made it a convenient digital platform for drug dealers selling controlled substances, opioids, and other illicit drugs. Previous studies and news i...
Analgesics, Opioid Illicit Drugs Humans Machine Learning Social Media Substance-Related Disorders
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Applications of machine learning in addiction studies: A systematic review.

Psychiatry research Mar 4, 2019
This study aims to provide a systematic review of the applications of machine learning methods in addiction research. In this study, multiple searches on MEDLINE, Embase and the Cochrane Database of Systematic Reviews were performed. 23 full-text art...
Cross-Over Studies Smoking Behavior, Addictive Gambling Machine Learning Humans Algorithms Cross-Sectional Studies Substance-Related Disorders
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Using Neural Multi-task Learning to Extract Substance Abuse Information from Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Substance abuse carries many negative health consequences. Detailed information about patients' substance abuse history is usually captured in free-text clinical notes. Automatic extraction of substance abuse information is vital to assess patients' ...
Substance Abuse Detection Information Storage and Retrieval Humans Neural Networks, Computer Electronic Health Records Machine Learning Female Algorithms Male Substance-Related Disorders
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Predominant polarity classification and associated clinical variables in bipolar disorder: A machine learning approach.

Journal of affective disorders Nov 6, 2018
BACKGROUND: Bipolar disorder (BD) is a severe psychiatric disorder characterized by periodic episodes of manic and depressive symptomatology. Predominant polarity (PP) appears to be an important specifier of BD. The present study employed machine lea...
ROC Curve Age Factors Substance-Related Disorders Area Under Curve Humans Alcoholism Machine Learning Tobacco Use Disorder Algorithms Demography Female Hallucinations Feeding and Eating Disorders Male Delusions Middle Aged Hospitalization Bipolar Disorder Adult Cohort Studies Cross-Sectional Studies
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Identifying substance use risk based on deep neural networks and Instagram social media data.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology Oct 24, 2018
Social media may provide new insight into our understanding of substance use and addiction. In this study, we developed a deep-learning method to automatically classify individuals' risk for alcohol, tobacco, and drug use based on the content from th...
Adult Sensitivity and Specificity Risk Assessment Deep Learning Social Media Humans Substance-Related Disorders Alcoholism Risk-Taking
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