Geriatric depression and anxiety screening via deep learning using activity tracking and sleep data

Computer Science

• Deep Learning Model 100%
• Deep Learning Method 100%
• Time Series Data 50%
• Residual Neural Network 25%
• Convolutional Neural Network 25%
• Long Short-Term Memory Network 25%
• Tracking Data 25%
• Multi-Label Classification 25%
• Health Condition 12%
• Effective Approach 12%
• Performance Parameter 12%
• Leaning Parameter 12%
• Model Selection 12%
• Classification Framework 12%

Pharmacology, Toxicology and Pharmaceutical Science

• Late Life Depression 100%
• Model Selection 25%
• Mood Disorder 25%