Depression recognition using machine learning methods with different feature generation strategies

Computer Science

• Machine Learning 100%
• Deep Learning 100%
• Ensemble Learning 100%
• Feature Generation 100%
• Power Spectral Density 100%
• Deep Learning 50%
• Classifier 50%
• Experimental Result 50%
• Convolutional Neural Network 50%
• Representation Learning 50%
• Support Vector Machine 50%
• Spatial Information 50%
• Geodesics 50%
• Clinical Outcome 50%

Psychology

• Electroencephalography 100%
• Neural Network 20%

Neuroscience

• Mini-International Neuropsychiatric Interview 20%