Efficient prediction of cardiovascular disease using machine learning algorithms with relief and lasso feature selection techniques

Mathematics

• Selection 100%
• Score 50%
• Precision 50%
• Error Rate 50%
• Diagnosis 50%
• Nearest Neighbour 50%
• Calculate 50%
• Concludes 50%
• Decision Tree 50%
• Data Collection 50%
• Training Process 50%
• Data Transformation 50%
• False Negative Rate 50%
• False Positive Rate 50%
• Transformation Method 50%
• Lasso Regression 50%

Computer Science

• Feature Selection 100%
• Machine Learning Algorithm 100%
• Models 100%
• Boosting 80%
• Accuracy 40%
• Random Decision Forest 40%
• Classifier 40%
• Training Model 20%
• Data Collection 20%
• Nearest Neighbour 20%
• Decision Trees 20%
• Diagnosis 20%
• Machine Learning 20%
• False Negative 20%
• Selection Operator 20%
• False Positive Rate 20%
• Accurate Information 20%
• Precision Rate 20%
• Data Transformation 20%
• Data Preprocessing 20%
• Training Process 20%
• Mortality Rate 20%

Neuroscience

• Machine Learning Algorithm 100%
• Cardiovascular System 50%