Data Mining Techniques for Prediction of Type 2 Diabetes leading to Cardiovascular Disease

Medicine and Dentistry

• Accuracy 25%
• Biological Marker 25%
• Cardiovascular Disease 100%
• Diabetes Mellitus 25%
• Disease Exacerbation 25%
• Diseases 25%
• Glucose 25%
• Heart 25%
• Maturity Onset Diabetes of the Young 75%
• Patient 25%
• Person 25%

Computer Science

• Boosting 25%
• Data Mining Technique 75%
• Disease Progression 25%
• Feature Extraction 25%
• Feature Selection 25%
• Prediction Accuracy 25%
• Random Decision Forest 25%
• Support Vector Machine 25%

Biochemistry, Genetics and Molecular Biology

• Accuracy 25%
• Extract 25%
• Feature Extraction 25%
• Glucose 25%
• Normal Human 25%
• Random Forest 25%