AIMC Topic: Substance-Related Disorders

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Predicting Substance Use Treatment Failure with Transfer Learning.

Substance use & misuse Sep 21, 2022
Transfer learning, which involves repurposing a trained model on a related task, may allow for better predictions with substance use data than models that are trained using the target data alone. This approach may also be useful for small clinical da...
Neural Networks, Computer Machine Learning Databases, Factual Substance-Related Disorders Treatment Failure Humans
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Long-term results after robot-assisted radical prostatectomy of a simplified inguinal hernia prevention technique without artificial substance use.

International journal of urology : official journal of the Japanese Urological Association Aug 24, 2022
INTRODUCTION: Durable techniques that prevent postoperative inguinal hernia (IH) after robot-assisted radical prostatectomy (RARP) have not been established. This study evaluated the long-term efficacy of a postoperative IH prevention technique that ...
Humans Retrospective Studies Substance-Related Disorders Robotic Surgical Procedures Prostatectomy Male Hernia, Inguinal Postoperative Complications Robotics
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A Bayesian mixed effects support vector machine for learning and predicting daily substance use disorder patterns.

The American journal of drug and alcohol abuse Feb 23, 2022
Substance use disorder (SUD) is a heterogeneous disorder. Adapting machine learning algorithms to allow for the parsing of intrapersonal and interpersonal heterogeneity in meaningful ways may accelerate the discovery and implementation of clinically...
Bayes Theorem Male Support Vector Machine Substance-Related Disorders Humans Female
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Predicting changes in substance use following psychedelic experiences: natural language processing of psychedelic session narratives.

The American journal of drug and alcohol abuse Jun 5, 2021
: Experiences with psychedelic drugs, such as psilocybin or lysergic acid diethylamide (LSD), are sometimes followed by changes in patterns of tobacco, opioid, and alcohol consumption. But, the specific characteristics of psychedelic experiences that...
Male Surveys and Questionnaires Emotions Natural Language Processing Humans Female Adult Lysergic Acid Diethylamide Psilocybin Substance-Related Disorders Hallucinogens Alcohol Drinking
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Analyzing Online Reviews of Substance Use Disorder Treatment Facilities in the USA Using Machine Learning.

Journal of general internal medicine Mar 16, 2021
Machine Learning United States Substance-Related Disorders Humans
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Predicting hospital readmission in patients with mental or substance use disorders: A machine learning approach.

International journal of medical informatics Apr 18, 2020
OBJECTIVE: Mental or substance use disorders (M/SUD) are major contributors of disease burden with high risk for hospital readmissions. We sought to develop and evaluate a readmission model using a machine learning (ML) approach.
Mental Disorders Retrospective Studies Substance-Related Disorders Humans Patient Discharge Machine Learning Patient Readmission Male Aged Adolescent Middle Aged ROC Curve Young Adult Female Child Comorbidity Longitudinal Studies Risk Factors Adult Hospitalization
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Machine-Learning prediction of comorbid substance use disorders in ADHD youth using Swedish registry data.

Journal of child psychology and psychiatry, and allied disciplines Apr 1, 2020
BACKGROUND: Children with attention-deficit/hyperactivity disorder (ADHD) have a high risk for substance use disorders (SUDs). Early identification of at-risk youth would help allocate scarce resources for prevention programs.
Registries Attention Deficit Disorder with Hyperactivity Risk Factors Cross-Sectional Studies Comorbidity Child Substance-Related Disorders Adolescent Humans Child, Preschool Machine Learning Sweden
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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...
Naloxone Narcotic Antagonists Opioid Epidemic Opioid-Related Disorders Wastewater Solid Phase Extraction Substance-Related Disorders Female North Carolina Feasibility Studies Urban Health Adult Male Analgesics, Opioid Water Pollutants, Chemical Humans Middle Aged Mass Spectrometry Robotics Environmental Monitoring
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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...
Motivational Interviewing Humans Substance-Related Disorders Adolescent American Indian or Alaska Native Indians, North American Alaska Natives
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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...
Online Systems Humans Patient Selection Substance-Related Disorders Internet-Based Intervention Robotics Clinical Studies as Topic Internet
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