Federated and ensemble learning framework with optimized feature selection for heart disease detection

Computer Science

• Classification Performance 25%
• Convolutional Neural Network 25%
• Data Privacy 50%
• Ensemble Learning 100%
• Feature Extraction 100%
• Feature Selection 100%
• Federated Learning 100%
• Generalizability 25%
• Gradient Boosting 25%
• Learning Framework 100%
• Learning System 25%
• Long Short-Term Memory Network 25%
• Machine Learning 25%
• Particle Swarm Optimization 25%
• Performance Metric 25%
• Performance Model 25%
• Prediction Accuracy 25%
• Predictive Model 25%
• Privacy Preserving 25%
• Random Decision Forest 25%
• Support Vector Machine 25%
• Training Model 25%