A Multiclass Approach to Predicting Diabetes Stage Using Machine Learning

Keyphrases

• Balanced Accuracy 33%
• Centers for Disease Control 33%
• Deep Learning 33%
• Diabetes 100%
• Diabetes Risk 33%
• Dimensionality Reduction 66%
• Disease Prevention 33%
• F1 Score 33%
• Global Prevalence 33%
• Logistic Regression Model 33%
• Machine Learning 100%
• Machine Learning Algorithms 66%
• Medical Indicators 33%
• Multi-class 100%
• Precision Accuracy 33%
• Precision-recall 33%
• Predictive Model 33%
• Prevalence of Diabetes Mellitus 33%
• Public Health Risk 33%
• Receiver Operating Characteristic-area under the Curve 33%
• Reduction Method 66%
• Social Determinants of Health (SDoH) 33%
• XGBoost Model 33%

Computer Science

• Centers for Disease Control 50%
• Deep Learning Technique 50%
• Dimensionality Reduction 100%
• Extreme Gradient Boosting 50%
• Large Data Set 50%
• Learning System 100%
• Logistic Regression 50%
• Machine Learning 100%
• Machine Learning Algorithm 100%
• Predictive Model 50%

Mathematics

• Deep Learning Method 50%
• Dimensionality Reduction 100%
• Logistic Regression 50%
• Predictive Model 50%
• Reduction Method 50%
• Xgboost 50%