ArticleProceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies2017
Detecting Drinking Episodes in Young Adults Using Smartphone-based Sensors.
Article in Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 85 citations in OpenAlex.
- Ecological momentary assessments and interventions for youth substance use across clinical settings: A systematic review.Research square · 2026Article
- Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study.JMIR mHealth and uHealth · 2026Observational
- A neuroimmune framework for understanding adolescent stress and risk of alcohol misuse.Brain, behavior, & immunity - health · 2026Review
- The utility of bluetooth and smartphone technology to detect peer contact.Experimental and clinical psychopharmacology · 2026Article
- Emotion-Adaptive Large Language Model-Driven Clinical Decision Support: User Evaluation of the Empathic Clinical Decision Support System Framework for Trust and Explainability.JMIR human factors · 2026Article
- Comparing training window selection methods for prediction in non-stationary time series.The British journal of mathematical and statistical psychology · 2026Article
- Smartphone-Based Digital Phenotyping Across Health Conditions: Scoping Review.Journal of medical Internet research · 2026Article
- Observational
- Article
- Using a Smartwatch App to Understand Young Adult Substance Use: Mixed Methods Feasibility Study.JMIR human factors · 2024Article
- Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults.2024 International Conference on Activity and Behavior Computing · 2024Article
- Large-Scale Estimation and Analysis of Web Users' Mood from Web Search Query and Mobile Sensor Data.Big data · 2024Article
- Acceptability of Personal Sensing Among People With Alcohol Use Disorder: Observational Study.JMIR mHealth and uHealth · 2023Observational
- Leveraging Mobile Phone Sensors, Machine Learning, and Explainable Artificial Intelligence to Predict Imminent Same-Day Binge-drinking Events to Support Just-in-time Adaptive Interventions: Algorithm Development and Validation Study.JMIR formative research · 2023Article
- Machine Learning for Healthcare Wearable Devices: The Big Picture.Journal of healthcare engineering · 2022Review
- Mobile phone sensor-based detection of subjective cannabis intoxication in young adults: A feasibility study in real-world settings.Drug and alcohol dependence · 2021Article
- Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal Study.JMIR cancer · 2021Article
- Developing an Adaptive Mobile Intervention to Address Risky Substance Use Among Adolescents and Emerging Adults: Usability Study.JMIR mHealth and uHealth · 2021Article
- To Mask or Not to Mask? Balancing Privacy with Visual Confirmation Utility in Activity-Oriented Wearable Cameras.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2019Article
- Using Smartphone Survey Data and Machine Learning to Identify Situational and Contextual Risk Factors for HIV Risk Behavior Among Men Who Have Sex with Men Who Are Not on PrEP.Prevention science : the official journal of the Society for Prevention Research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
Alcohol use in young adults is common, with high rates of morbidity and mortality largely due to periodic, heavy drinking episodes (HDEs). Behavioral interventions delivered through electronic communication modalities (
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.