Malaria severity classification through Jordan-elman neural network based on features extracted from thick blood smear

Computer Science

• Neural Network 100%
• Extracted Feature 100%
• Superior Performance 33%
• Neural Network Model 33%
• Comparative Analysis 33%
• Support Vector Machine 33%
• Characteristic Curve 33%
• Confusion Matrix 33%
• Performance Improvement 33%
• Feed Forward Neural Networks 33%

Mathematics

• Neural Network 100%
• Mean Square Error 20%
• Network Model 20%
• Support Vector Machine 20%
• Characteristic Curve 20%
• Confusion Matrix 20%
• Negative Value 20%
• Multiple Regression Model 20%

Nursing and Health Professions

• Predictive Value 100%
• Support Vector Machine 50%
• Receiver Operating Characteristic 50%