Predictive analytics for blood glucose concentration: an empirical study using the tree-based ensemble approach

Computer Science

• Decision Making Tool 25%
• Decision Trees 100%
• Ensemble Approach 100%
• Feature Selection 100%
• Fold Cross Validation 25%
• Gradient Boosting 75%
• Health Care 25%
• Information Criterion 50%
• Machine Learning Technology 25%
• Majority Voting 75%
• Practical Implication 25%
• Prediction Framework 25%
• Prediction Performance 50%
• Predictive Analytics 100%
• Predictive Performance 25%
• Primary Objective 25%
• Random Decision Forest 50%
• Social Implication 25%
• Validation Method 25%

Engineering

• Adaboost 50%
• Akaike Information Criterion 25%
• Blood Glucose 100%
• Blood Glucose Concentration 100%
• Cell Volume 50%
• Erythrocyte 50%
• Feature Extraction 100%
• Health Care 25%
• Leukocyte 25%
• Prediction Performance 50%
• Random Forest 50%
• Regressors 50%
• Selection Method 75%

Mathematics

• Decision Making Tool 20%
• Predictive Analytics 100%