End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysis

Computer Science

• Convolutional Neural Network 100%
• Comparative Analysis 100%
• Visual Feature 100%
• Deep Neural Network 100%
• Long Short-Term Memory Network 75%
• Deep Learning 50%
• Long Short-Term Memory Networks 50%
• Textual Feature 50%
• Temporal Dynamic 25%
• Clinical Application 25%
• Computation Time 25%
• Neural Network Architecture 25%
• Health Condition 25%
• Long Short-Term Memory Neural Network 25%

Neuroscience

• Depression 100%
• Short-Term Memory 100%
• Neural Network 100%
• Major Depressive Disorder 16%

Keyphrases

• Severity Level Prediction 33%
• Depression Analysis 16%