AIMC Topic: Ecological Momentary Assessment

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Momentary dietary lapse prediction for obesity management: Developing the Eating Behaviour Lapse Inventory Survey Singapore (eBLISS) and a machine learning lapse prediction model.

Computer methods and programs in biomedicine Sep 1, 2025
BACKGROUND: As the obesity prevalence continues to rise, effective interventions that promote dietary adherence and address the intricate array of factors contributing to dietary lapses are warranted.
Humans Machine Learning Algorithms Female Reproducibility of Results Adult Male Middle Aged Surveys and Questionnaires Mobile Applications Obesity Singapore Feeding Behavior Ecological Momentary Assessment Obesity Management
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Prescriptive Predictors of Mindfulness Ecological Momentary Intervention for Social Anxiety Disorder: Machine Learning Analysis of Randomized Controlled Trial Data.

JMIR mental health May 13, 2025
BACKGROUND: Shame and stigma often prevent individuals with social anxiety disorder (SAD) from seeking and attending costly and time-intensive psychotherapies, highlighting the importance of brief, low-cost, and scalable treatments. Creating prescrip...
Humans Machine Learning Female Young Adult Adult Male Middle Aged Treatment Outcome Phobia, Social Mindfulness Ecological Momentary Assessment
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Recurrent Neural Networks in Mobile Sampling and Intervention.

Schizophrenia bulletin Mar 7, 2019
The rapid rise and now widespread distribution of handheld and wearable devices, such as smartphones, fitness trackers, or smartwatches, has opened a new universe of possibilities for monitoring emotion and cognition in everyday-life context, and for...
Humans Neural Networks, Computer Machine Learning Psychotic Disorders Telemedicine Ecological Momentary Assessment
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Using Elastic Net Penalized Cox Proportional Hazards Regression to Identify Predictors of Imminent Smoking Lapse.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco Jan 4, 2019
INTRODUCTION: Machine learning algorithms such as elastic net regression and backward selection provide a unique and powerful approach to model building given a set of psychosocial predictors of smoking lapse measured repeatedly via ecological moment...
Humans Machine Learning Female Adult Male Middle Aged Smartphone Follow-Up Studies Predictive Value of Tests Proportional Hazards Models Smokers Recurrence Smoking Cessation Ecological Momentary Assessment Tobacco Smoking
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