Identification of patients with congestive heart failure using different neural networks approaches

Computer Science

• Normal Subject 74%
• Training Dataset 50%
• Spectral Density 50%
• Pattern Classification 50%
• Spectral Feature 50%
• Training Data 25%
• Normal Control 25%
• System Identification 25%
• Machine Learning Approach 25%
• Back Propagation Neural Network 25%
• Organizing Map 25%
• Neural Network Approach 25%

Mathematics

• Classification 100%
• Unsupervised Neural Network 50%
• Training Dataset 50%
• Spectral Density 50%
• Organizing Map 25%
• Simulated Data Set 25%
• Training Data 25%
• Density Estimation 25%