Combining International Survey Datasets to Identify Indicators of Stress during the COVID-19 Pandemic: A Machine Learning Approach to Improve Generalization

Keyphrases

• Mental Health Problems 100%
• COVID-19 Pandemic 100%
• Machine Learning Approach 100%
• International Survey 100%
• Psychological Stress 100%
• Stress Indicators 100%
• Survey Datasets 100%
• Virus 50%
• COVID-19 50%
• Comorbidity 50%
• Physician-scientist 50%
• Protective Factors 50%
• Heterogeneous Data 50%
• Scientific Community 50%
• Machine Learning 50%
• Vulnerability 50%
• Predictive Factors 50%
• Applied Machine Learning 50%
• Public Health Measures 50%
• Social Isolation 50%
• Stress Anxiety 50%
• Psychiatric History 50%
• SARS-CoV-19 50%
• Global Survey 50%
• Decision Maker 50%
• Meditation 50%
• PSS-10 50%
• Model Assumptions 50%
• Stress-induced Depression 50%
• Gender Relationships 50%
• Relationship Status 50%
• Financial Hardship 50%
• Psychological Depression 50%
• Global Indicators 50%
• Pandemic Stress 50%
• Machine Learning Modeling 50%
• Psychological Anxiety 50%
• Geographic Boundaries 50%
• One Country 50%
• Cultural Boundaries 50%
• Fear of Contagion 50%
• Quarantine Measures 50%

Psychology

• COVID-19 100%
• Mental Health 50%
• Psychological Stress 50%
• Comorbidity 25%
• Public Health 25%
• Social Isolation 25%
• Social Alienation 25%

Neuroscience

• Psychological Stress 100%
• Meditation 50%
• Comorbidity 50%
• Social Isolation 50%