AIMC Topic: Stress, Psychological

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Using Machine Learning to Identify Predictors of Maternal and Infant Hair Cortisol Concentration Before and During the COVID-19 Pandemic.

Stress and health : journal of the International Society for the Investigation of Stress Jun 1, 2025
Hair cortisol concentration (HCC) has been theorized to reflect chronic stress, and maternal and infant HCC may be correlated due to shared genetic, physiological, behavioural, and environmental factors, such as stressful life circumstances. The curr...
Machine Learning COVID-19 Retrospective Studies Female Humans Hydrocortisone Mothers Hair Hypothalamo-Hypophyseal System Adult Infant Stress, Psychological United States
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Using Machine Learning to Predict Uptake to an Online Self-Guided Intervention for Stress During the COVID-19 Pandemic.

Stress and health : journal of the International Society for the Investigation of Stress Apr 1, 2025
Online self-guided interventions appear efficacious for alleviating some mental health concerns. However, among persons who are offered online interventions, only a fraction access them (i.e., achieve uptake). Machine learning methods may be useful t...
Male Middle Aged Stress, Psychological Mental Health Services Female SARS-CoV-2 Young Adult Adult Secondary Data Analysis Randomized Controlled Trials as Topic Telemedicine Patient Acceptance of Health Care Internet-Based Intervention Humans Machine Learning Pandemics COVID-19
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Identifying Preliminary Risk Profiles for Dissociation in 16- to 25-Year-Olds Using Machine Learning.

Early intervention in psychiatry Feb 1, 2025
INTRODUCTION: Dissociation is associated with clinical severity, increased risk of suicide and self-harm, and disproportionately affects adolescents and young adults. Whilst evidence indicates multiple factors contribute to dissociative experiences, ...
Humans Machine Learning Adverse Childhood Experiences United Kingdom Loneliness Cross-Sectional Studies Dissociative Disorders Female Male Risk Factors Adolescent Young Adult Stress, Psychological Adult
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Constructing a Predictive Model for Psychological Distress of Young- and Middle-Aged Gynaecological Cancer Patients.

Journal of evaluation in clinical practice Feb 1, 2025
BACKGROUND: Cancer patients experience substantial psychological distress which causes the reduction of the quality of life. However, the risk of psychological distress has not been well predicted especially in young- and middle-aged gynaecological c...
Logistic Models Age Factors Genital Neoplasms, Female Psychological Distress Quality of Life Self Efficacy Stress, Psychological ROC Curve Young Adult Adult Cross-Sectional Studies Middle Aged Humans Neural Networks, Computer Female Risk Factors
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Artificial intelligence for contextual well-being: Protocol for an exploratory sequential mixed methods study with medical students as a social microcosm.

PloS one Jan 1, 2025
INTRODUCTION: AI-powered conversational agents have proven effective in alleviating psychological distress, however, concerns about autonomy and authentic psychological development remain, especially in youth during critical stages of identity and re...
Humans Artificial Intelligence Female Young Adult Adult Male Students, Medical Stress, Psychological Delphi Technique
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Multidimensional correlates of psychological stress: Insights from traditional statistical approaches and machine learning using a nationally representative Canadian sample.

PloS one Jan 1, 2025
Approximately one-fifth of Canadians report high levels of psychological stress. This is alarming, as chronic stress is associated with non-communicable diseases and premature mortality. In order to create effective interventions and public policy fo...
Humans Machine Learning Female Canada Linear Models Middle Aged Adolescent Aged Stress, Psychological Young Adult Health Surveys Adult Male
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Black-White Differences in Chronic Stress Exposures to Predict Preterm Birth: Interpretable, Race/Ethnicity-Specific Machine Learning Models.

Studies in health technology and informatics Jul 24, 2024
We developed Multivariate Adaptive Regression Splines (MARS) machine learning models of chronic stressors using the Pregnancy Risk Assessment Monitoring System data (2012-2017) to predict preterm birth (PTB) more accurately and identify chronic stres...
Adult Risk Assessment Stress, Psychological United States Black or African American White Pregnancy Female Premature Birth Humans Risk Factors Machine Learning
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Enhanced Driver Stress Prediction from Multiple Biosignals via CNN Encoder-Decoder Model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
In this work, we present PhysioFuseNet, a novel framework designed to enhance driver stress state classification. PhysioFuseNet integrates a CNN-based encoder-decoder model with multimodal biosignal fusion. Using a driving simulator, different multim...
Electrocardiography Support Vector Machine Signal Processing, Computer-Assisted Automobile Driving Adult Respiratory Rate Humans Male Neural Networks, Computer Stress, Psychological Female Photoplethysmography
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Physical, Social and Cognitive Stressor Identification using Electrocardiography-derived Features and Machine Learning from a Wearable Device.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Anxiety is a prevalent and detrimental mental health condition affecting young adults, particularly in college students who face a range of stressors including academic pressures, interpersonal relationships, and financial concerns. The ability to pr...
Stress, Psychological Humans Wearable Electronic Devices Machine Learning Support Vector Machine Cognition Young Adult Female Electrocardiography Signal Processing, Computer-Assisted Adult Heart Rate Male Anxiety
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Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Mental health conditions, prevalent across various demographics, necessitate efficient monitoring to mitigate their adverse impacts on life quality. The surge in data-driven methodologies for mental health monitoring has underscored the importance of...
Monitoring, Physiologic Privacy Machine Learning Humans Algorithms Mental Health Stress, Psychological
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