An integrated decision support system for heart failure prediction based on feature transformation using grid of stacked autoencoders

Computer Science

• Decision Support System 100%
• Autoencoder 100%
• Machine Learning 33%
• Learning System 33%
• Feature Selection 33%
• Principal Component 33%
• Component Analysis 33%
• Neural Network 16%
• Neural Network Model 16%
• Feature Extraction 16%
• Classification Accuracy 16%
• Prediction Accuracy 16%
• Mutual Information 16%
• Mortality Rate 16%
• Considerable Amount 16%

Engineering

• Autoencoder 100%
• Support System 100%
• Learning System 33%
• Feature Extraction 33%
• Principal Component 33%
• Component Analysis 33%
• Network Model 16%
• Classification Accuracy 16%
• Early Stage 16%
• Selection Method 16%
• Mutual Information 16%