Machine learning for tuning, selection, and ensemble of multiple risk scores for predicting type 2 diabetes

Keyphrases

• Type 2 Diabetes Mellitus (T2DM) 100%
• Risk Score 100%
• Multiple Risk Factors 100%
• Machine Learning 100%
• Score System 100%
• Prediction Accuracy 50%
• Machine Learning Techniques 33%
• Risk Scoring System 33%
• Ensemble Methods 33%
• Non-invasive Scores 33%
• Logistic Regression 16%
• Clinical High Risk 16%
• Model Selection 16%
• Newly Established 16%
• Pre-diabetes (pre-DM) 16%
• Reaction Studies 16%
• Western Population 16%
• Risk Evaluation 16%
• Machine Learning Algorithms 16%
• Selection Algorithm 16%
• Uncontrolled Type 2 Diabetes 16%
• Type 2 Diabetes Prediction 16%
• Eastern Population 16%

Computer Science

• Prediction Accuracy 100%
• Machine Learning 100%
• Learning System 100%
• Ensemble Method 66%
• Logistic Regression 33%
• Machine Learning Technique 33%
• Machine Learning Algorithm 33%
• Western Population 33%
• Model Selection 33%

Mathematics

• Longitudinal Study 100%
• Model Selection 100%
• Logistic Regression 100%