Unobtrusive Monitoring to Detect Depression for Elderly with Chronic Illnesses

Keyphrases

• Neural Network 100%
• Related Disorders 100%
• Non-invasive Monitoring 100%
• Sensing System 100%
• Chronic Illness 100%
• Depression Risk 100%
• Caregivers 50%
• Popular 50%
• Sensor Data 50%
• Depression Severity 50%
• Mental Health 50%
• Classification Model 50%
• Activities of Daily Living 50%
• Feature Extraction 50%
• Support Vector Machine 50%
• Non-intrusive 50%
• Elders 50%
• Decision Tree 50%
• Living Alone 50%
• Bayesian Network 50%
• Living Conditions 50%
• Mental Health Disorders 50%
• Classification Algorithms 50%
• Aging in Place 50%
• Early Symptoms 50%
• Long-term Depression 50%
• State Activity 50%
• Timely Intervention 50%
• Potential Threats 50%
• Depression Detection 50%
• Daily Living 50%
• Unobtrusive Sensing 50%
• Passive Infrared Motion Sensor 50%
• Health-related 50%
• Common Diseases 50%
• Network Vector 50%

Computer Science

• Mental Disorder 100%
• Collected Data 50%
• Support Vector Machine 50%
• Classification Models 50%
• Neural Network 50%
• Neural Network Model 50%
• Classification Algorithm 50%
• Bayesian Networks 50%
• Potential Threat 50%
• Feature Extraction 50%
• Decision Tree 50%
• Living Condition 50%