AIMC Topic: Ecological Momentary Assessment

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Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone.

JMIR mHealth and uHealth Oct 16, 2019
BACKGROUND: Although geriatric depression is prevalent, diagnosis using self-reporting instruments has limitations when measuring the depressed mood of older adults in a community setting. Ecological momentary assessment (EMA) by using wearable devic...
Ecological Momentary Assessment Wearable Electronic Devices Machine Learning Logistic Models Humans Residence Characteristics Republic of Korea Female Aged Aged, 80 and over Male Depression Surveys and Questionnaires
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Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol.

BMC psychiatry Sep 7, 2019
BACKGROUND: The screening of digital footprint for clinical purposes relies on the capacity of wearable technologies to collect data and extract relevant information's for patient management. Artificial intelligence (AI) techniques allow processing o...
Humans Artificial Intelligence Research Design Surveys and Questionnaires Wearable Electronic Devices Smartphone Randomized Controlled Trials as Topic Female Adult Male Suicide, Attempted Polysomnography Ecological Momentary Assessment Appetite Telemedicine France Spain
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Deep Sequential Models for Suicidal Ideation From Multiple Source Data.

IEEE journal of biomedical and health informatics May 27, 2019
This paper presents a novel method for predicting suicidal ideation from electronic health records (EHR) and ecological momentary assessment (EMA) data using deep sequential models. Both EHR longitudinal data and EMA question forms are defined by asy...
Suicide Models, Psychological Ecological Momentary Assessment Electronic Health Records Female Humans Adult Neural Networks, Computer Middle Aged Male Deep Learning Suicide Prevention Suicidal Ideation
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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 ...
Ecological Momentary Assessment Principal Component Analysis Psychotic Disorders Monte Carlo Method Male Case-Control Studies ROC Curve Smartphone Logistic Models Support Vector Machine Emotions Humans Neural Networks, Computer Machine Learning Female
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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...
Adult Humans Male Smartphone Weight Reduction Programs Overweight Mobile Applications Ecological Momentary Assessment Obesity Machine Learning Patient Compliance Algorithms Diet, Reducing Female
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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.
Biosensing Techniques Supervised Machine Learning Monitoring, Ambulatory Alcoholism Cell Phone Young Adult Ecological Momentary Assessment Humans Adult Prospective Studies Male Female Surveys and Questionnaires
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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 Treatment Outcome Phobia, Social Mindfulness Ecological Momentary Assessment Young Adult Adult Male Middle Aged
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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 Telemedicine Ecological Momentary Assessment Neural Networks, Computer Machine Learning Psychotic Disorders
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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...
Proportional Hazards Models Smokers Recurrence Smoking Cessation Ecological Momentary Assessment Tobacco Smoking Middle Aged Smartphone Follow-Up Studies Predictive Value of Tests Female Adult Male Humans Machine Learning
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