Multitask Deep Learning for Predicting Parkinson's Progression and Depression from Multimodal Time Series Data

Computer Science

• Deep Learning Method 100%
• Time Series Data 100%
• Parkinson's Disease 100%
• Variational Autoencoder 28%
• Disease Patient 28%
• Bidirectional Long Short-Term Memory Network 14%
• Extracted Feature 14%
• Learning Framework 14%
• Early Detection 14%
• Long Short-Term Memory Network 14%
• Deep Feature 14%
• Disease Progression 14%
• 3-Dimensional Convolutional Neural Networks 14%
• Cross-Validation 14%
• Caregiver Burden 14%

Neuroscience

• Parkinson's Disease 100%
• Magnetic Resonance Imaging 42%
• Neurodegenerative Disorder 14%
• Non-Motor Symptoms 14%
• Quality of Life 14%