Applying the Temporal Abstraction Technique to the Prediction of Chronic Kidney Disease Progression

Medicine & Life Sciences

• Chronic Renal Insufficiency 100%
• Disease Progression 87%
• Data Mining 24%
• Chronic Kidney Failure 17%
• Support Vector Machine 12%
• Public Sector 11%
• Clinical Decision-Making 10%
• Taiwan 9%
• Quality of Health Care 8%
• Dialysis 8%
• Area Under Curve 8%
• Early Diagnosis 8%
• Sensitivity and Specificity 7%
• Occupational Groups 7%
• Public Health 7%
• Research Personnel 6%
• Kidney 5%

Engineering & Materials Science

• Deterioration 22%
• Time series 21%
• Adaptive boosting 19%
• Data mining 13%
• Dialysis 12%
• Public health 9%
• Support vector machines 6%
• Personnel 6%