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Related Concept Videos

Stress and Mental Health01:30

Stress and Mental Health

89
Chronic stress profoundly affects mental health, significantly influencing mood, behavior, and overall quality of life. Research closely links chronic stress with mental health conditions such as depression, anxiety, and substance use disorders. Ongoing exposure to stress can lead to physiological and psychological changes, initiating a cycle of emotional distress and maladaptive coping mechanisms.
Individuals with depression often experience challenges in both their personal and professional...
89
Psychological Responses to Stress01:20

Psychological Responses to Stress

49
Psychological responses to stress encompass the various cognitive and emotional reactions individuals experience when faced with challenging or threatening situations, such as a job loss. Prolonged exposure to stressors can disturb emotional balance, increasing negative emotions (e.g., anxiety and sadness) and diminishing positive emotions (e.g., joy and satisfaction). These persistent emotional shifts are associated with an increased risk of both physical illness and mental health issues, such...
49
Stress Prevention and Stress Management Techniques III01:25

Stress Prevention and Stress Management Techniques III

55
Regular exercise and meditation serve as essential tools in managing stress and promoting physical and mental well-being.
The Role of Exercise in Stress Management
Regular physical activity is essential for reducing stress and promoting cardiovascular health. Exercise strengthens the heart, enhances blood flow, keeps blood vessels flexible, and helps lower blood pressure, all of which reduce the body's stress response. Research shows that adults who exercise regularly have nearly half the...
55
Introduction to Stress and Lifestyle01:27

Introduction to Stress and Lifestyle

91
Stress is a multifaceted response to events perceived as challenging or threatening, highlighting physical, emotional, cognitive, and behavioral reactions. Physically, stress can lead to fatigue, sleep disruptions, and various health issues such as frequent colds, chest pains, and nausea. Emotionally, it can manifest as anxiety, depression, irritability, and anger triggered by both minor and major life events. Cognitively, it may result in difficulty in concentration, memory, and...
91
Stress Prevention and Stress Management Techniques I01:26

Stress Prevention and Stress Management Techniques I

45
Stress prevention and management are crucial for maintaining well-being and building resilience. Techniques to manage stress include cultivating qualities like conscientiousness, a sense of personal control, and self-efficacy. Each of these traits significantly reduces stress and promotes healthier lifestyle choices and outcomes.
Conscientiousness
Conscientious individuals tend to be organized, responsible, and disciplined. They prioritize completing tasks and following structured routines,...
45
Psychoneuroimmunology: Cardiovascular Disease01:27

Psychoneuroimmunology: Cardiovascular Disease

27
Psychoneuroimmunology (PNI) is a multidisciplinary field that examines how psychological factors, particularly stress, interact with the immune system and impact physical health. Research in PNI has shown that chronic or traumatic stress can disrupt both the hypothalamic-pituitary-adrenal axis and the sympathetic nervous system. These disruptions contribute to serious health conditions, including cardiovascular diseases.
A key area of focus in PNI is the relationship between stress and coronary...
27

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Related Experiment Video

Updated: Jun 15, 2025

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Machine Learning, Deep Learning, and Data Preprocessing Techniques for Detecting, Predicting, and Monitoring Stress

Moein Razavi1,2, Samira Ziyadidegan1, Ahmadreza Mahmoudzadeh3

  • 1Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, United States.

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|August 21, 2024
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Summary

Machine learning (ML) models, particularly support vector machines, neural networks, and random forests, show promise for detecting and predicting mental stress and related disorders. Physiological data and dimensionality reduction are key to these advancements.

Keywords:
data preprocessingdeep learningmachine learningmental disordersstress detectionstress monitoringstress prediction

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Area of Science:

  • Computational psychiatry
  • Artificial intelligence in healthcare

Background:

  • Mental stress and mental health disorders (MDs) are a significant public health concern.
  • Machine learning (ML) offers computational approaches for understanding and managing mental stress and MDs.

Purpose of the Study:

  • To review ML methodologies for detecting, predicting, and analyzing mental stress and MDs.
  • To identify current trends and applications of ML in this domain.

Main Methods:

  • A rigorous scoping review adhering to PRISMA-ScR guidelines.
  • Examination of ML algorithms, preprocessing techniques, and data types in stress research.

Main Results:

  • Support vector machine, neural network, and random forest models demonstrated high accuracy and robustness.
  • Physiological parameters (heart rate, skin response) are common predictors.
  • Dimensionality reduction techniques are crucial preprocessing steps.

Conclusions:

  • Identified research gaps include model interpretability, personalization, and real-time processing.
  • Future directions emphasize naturalistic settings and enhanced predictive capabilities.