Research Article
Predicting Renal Failure Progression in Chronic Kidney Disease Using Integrated Intelligent Fuzzy Expert System
Table 1
Baseline characteristics of the study population (
).
| | Variable | Mean ± standard deviation |
| | GFR (cc/min/m2) | 34.8 ± 11.0 | | Age (years) | 61.3 ± 14.9 | | BMI (kg/M2) | 26.5 ± 4.2 | | Systolic blood pressure (CmHg) | 14.0 ± 2.7 | | Diastolic blood pressure (CmHg) | 7.8 ± 1.3 | | Hemoglobin (gr/dL) | 12.6 ± 2.1 | | Phosphorus (mg/dL) | 4.10 ± 0.8 | | Uric acid (mg/dL) | 8.1 ± 1.9 | | Cholesterol (mg/dL) | 198.5 ± 58.9 | | Triglyceride (mg/dL) | 205.6 ± 134.5 |
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