AIMC Topic: Ecological Momentary Assessment

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Identifying psychosis spectrum disorder from experience sampling data using machine learning approaches.

Schizophrenia research May 16, 2019
The ubiquity of smartphones opened up the possibility of widespread use of the Experience Sampling Method (ESM). The method is used to collect longitudinal data of participants' daily life experiences and is ideal to capture fluctuations in emotions ...
Humans Neural Networks, Computer Male Case-Control Studies ROC Curve Machine Learning Female Principal Component Analysis Psychotic Disorders Ecological Momentary Assessment Monte Carlo Method Smartphone Support Vector Machine Logistic Models Emotions
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Application of Machine Learning to Predict Dietary Lapses During Weight Loss.

Journal of diabetes science and technology May 24, 2018
BACKGROUND: Individuals who adhere to dietary guidelines provided during weight loss interventions tend to be more successful with weight control. Any deviation from dietary guidelines can be referred to as a "lapse." There is a growing body of resea...
Obesity Algorithms Female Patient Compliance Diet, Reducing Adult Mobile Applications Humans Weight Reduction Programs Machine Learning Overweight Ecological Momentary Assessment Male Smartphone
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Mobile phone sensors and supervised machine learning to identify alcohol use events in young adults: Implications for just-in-time adaptive interventions.

Addictive behaviors Nov 27, 2017
BACKGROUND: Real-time detection of drinking could improve timely delivery of interventions aimed at reducing alcohol consumption and alcohol-related injury, but existing detection methods are burdensome or impractical.
Cell Phone Ecological Momentary Assessment Monitoring, Ambulatory Adult Alcoholism Female Male Young Adult Humans Surveys and Questionnaires Biosensing Techniques Prospective Studies Supervised Machine Learning
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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...
Young Adult Adult Male Machine Learning Female Phobia, Social Mindfulness Ecological Momentary Assessment Middle Aged Treatment Outcome Humans
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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...
Telemedicine Ecological Momentary Assessment Humans Machine Learning Psychotic Disorders Neural Networks, Computer
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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...
Tobacco Smoking Smoking Cessation Ecological Momentary Assessment Smokers Recurrence Middle Aged Smartphone Predictive Value of Tests Proportional Hazards Models Follow-Up Studies Female Adult Male Humans Machine Learning
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