AIMC Topic: Substance-Related Disorders

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Factors Associated with HIV Testing Among Participants from Substance Use Disorder Treatment Programs in the US: A Machine Learning Approach.

AIDS and behavior Feb 1, 2017
HIV testing is the foundation for consolidated HIV treatment and prevention. In this study, we aim to discover the most relevant variables for predicting HIV testing uptake among substance users in substance use disorder treatment programs by applyin...
Humans Machine Learning Female Male Comorbidity Self Efficacy HIV Infections Logistic Models United States Mass Screening Substance-Related Disorders Sexual Behavior Counseling Attitude to Health Drug Users Condoms Safe Sex
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Development of New Diagnostic Techniques - Machine Learning.

Advances in experimental medicine and biology Jan 1, 2017
Traditional diagnoses on addiction reply on the patients' self-reports, which are easy to be dampened by false memory or malingering. Machine learning (ML) is a data-driven procedure that learns algorithms from training data and makes predictions. It...
Humans Machine Learning Algorithms Biomarkers Brain Diagnosis, Computer-Assisted Predictive Value of Tests Substance-Related Disorders Behavior, Addictive Drug Users
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