AIMC Topic: Behavior, Addictive

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Using Health Chatbots for Behavior Change: A Mapping Study.

Journal of medical systems Apr 4, 2019
This study conducts a mapping study to survey the landscape of health chatbots along three research questions: What illnesses are chatbots tackling? What patient competences are chatbots aimed at? Which chatbot technical enablers are of most interest...
Nutrition Disorders User-Computer Interface Health Status Internet Telemedicine Nervous System Diseases Text Messaging Behavior, Addictive Health Behavior Metabolic Diseases Humans Machine Learning Mental Health Communication
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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 Algorithms Cross-Sectional Studies Substance-Related Disorders Humans Machine Learning
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Machine learning vs addiction therapists: A pilot study predicting alcohol dependence treatment outcome from patient data in behavior therapy with adjunctive medication.

Journal of substance abuse treatment Jan 30, 2019
BACKGROUND AND OBJECTIVES: Clinical staff providing addiction treatment predict patient outcome poorly. Prognoses based on linear statistics are rarely replicated. Addiction is a complex non-linear behavior. Incorporating non-linear models, Machine L...
Outcome Assessment, Health Care Algorithms Alcoholism Cognitive Behavioral Therapy Adult Behavior, Addictive Humans Pilot Projects Surveys and Questionnaires Machine Learning
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Problematic internet use (PIU): Associations with the impulsive-compulsive spectrum. An application of machine learning in psychiatry.

Journal of psychiatric research Aug 15, 2016
Problematic internet use is common, functionally impairing, and in need of further study. Its relationship with obsessive-compulsive and impulsive disorders is unclear. Our objective was to evaluate whether problematic internet use can be predicted f...
Surveys and Questionnaires Adolescent ROC Curve United States Internet Online Systems Obsessive-Compulsive Disorder Predictive Value of Tests South Africa Young Adult Adult Male Middle Aged Female Behavior, Addictive Reproducibility of Results Compulsive Behavior Humans Aged Machine Learning Aged, 80 and over Psychiatry
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Machine-learning identifies substance-specific behavioral markers for opiate and stimulant dependence.

Drug and alcohol dependence Feb 15, 2016
BACKGROUND: Recent animal and human studies reveal distinct cognitive and neurobiological differences between opiate and stimulant addictions; however, our understanding of the common and specific effects of these two classes of drugs remains limited...
Risk Factors Young Adult Adult Male Personality Humans Amphetamine-Related Disorders Behavior, Addictive Machine Learning Impulsive Behavior Heroin Dependence Female Antisocial Personality Disorder
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Exchanging expertise and constructing boundaries: The development of a transnational knowledge network around heroin-assisted treatment.

The International journal on drug policy Dec 17, 2015
Over the last 20 years, supervised injectable and inhalable heroin prescribing has been developed, tested and in some cases introduced as a second line treatment for limited groups of entrenched heroin users in a number of European countries and Cana...
Public Opinion Heroin Dependence Analgesics, Opioid Humans Cooperative Behavior International Cooperation Knowledge Bases Qualitative Research Behavior, Addictive Stakeholder Participation Evidence-Based Medicine Treatment Outcome Drug Users Interdisciplinary Communication Administration, Inhalation Injections, Intravenous Heroin
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People are not becoming "AIholic": Questioning the "ChatGPT addiction" construct.

Addictive behaviors Jul 1, 2025
Generative artificial intelligence (AI) chatbots such as ChatGPT have rapidly gained popularity in many daily life spheres, even sparking scholarly debate about a potential "ChatGPT addiction." Throughout history, new technologies have repeatedly bee...
Behavior, Addictive Internet Addiction Disorder Humans Artificial Intelligence Generative Artificial Intelligence
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Mental Health Issues and 24-Hour Movement Guidelines-Based Intervention Strategies for University Students With High-Risk Social Network Addiction: Cross-Sectional Study Using a Machine Learning Approach.

Journal of medical Internet research Jun 13, 2025
BACKGROUND: The exponential growth of digital technologies and the ubiquity of social media platforms have led to unprecedented mental health challenges among college students, highlighting the critical need for effective intervention approaches.
Female Young Adult Adult Mental Health Humans Machine Learning Surveys and Questionnaires Adolescent Universities Health Behavior Behavior, Addictive Cross-Sectional Studies Male Students China
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Automating the Addiction Behaviors Checklist for Problematic Opioid Use Identification.

JAMA psychiatry Jun 1, 2025
IMPORTANCE: Individuals whose chronic pain is managed with opioids are at high risk of developing an opioid use disorder. Electronic health records (EHR) allow large-scale studies to identify a continuum of problematic opioid use, including opioid us...
Aged Chronic Pain Behavior, Addictive Adult Cross-Sectional Studies Male Analgesics, Opioid Opioid-Related Disorders Checklist Humans Retrospective Studies Electronic Health Records Middle Aged Female Natural Language Processing
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Facial emotion based smartphone addiction detection and prevention using deep learning and video based learning.

Scientific reports May 23, 2025
Smartphone addiction among students has emerged as a critical issue, negatively impacting their academic performance, emotional well-being, and social behavior. This paper introduces the Theory of Mind integrated with Video Modelling (TMVM) framework...
Humans Neural Networks, Computer Students Deep Learning Adolescent Smartphone Emotions Algorithms Female Young Adult Male Video Recording Facial Expression Behavior, Addictive Internet Addiction Disorder
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