Research Article
A Self-Representation-Based Fuzzy SVM Model for Predicting Vascular Calcification of Hemodialysis Patients
Table 1
The information of dataset.
| | No. | Feature | Value | |
| | 1 | Gender (males/females) | 32/27 | -0.0455 | | 2 | Age (years) | | 0.4010 | | 3 | Smoking (yes/no) | 1/58 | -0.0847 | | 4 | BMI (kg/m2) | | 0.1639 | | 5 | DM (yes/no) | 24/35 | 0.4847 | | 6 | CI (yes/no) | 3/56 | 0.0025 | | 7 | CHD (yes/no) | 5/54 | 0.0433 | | 8 | Systolic blood pressure (mmHg) | | -0.1150 | | 9 | Diastolic blood pressure (mmHg) | | -0.2043 | | 10 | Phosphate binder (yes/no) | 36/23 | -0.2141 | | 11 | Hemoglobin (g/L) | | -0.2584 | | 12 | C-reactive protein (mg/L) | | 0.3016 | | 13 | Serum creatinine (μmol/L) | | -0.4252 | | 14 | Serum glucose (mmol/L) | | 0.2608 | | 15 | Serum calcium (mmol/L) | | 0.0520 | | 16 | Serum phosphorus (mmol/L) | | -0.0862 | | 17 | Total glyceride (mmol/L) | | -0.0542 | | 18 | Total cholesterol (mmol/L) | | -0.0466 | | 19 | Low-density lipoprotein-C (mmol/L) | | -0.0252 | | 20 | High-density lipoprotein-C (mmol/L) | | 0.0866 | | 21 | HbA1c (%) | | 0.2151 | | 22 | Serum albumin (g/L) | | -0.1308 | | 23 | 25-OH vitamin D3 (ng/mL) | | 0.3850 | | 24 | iPTH (pg/mL) | | -0.0225 | | 25 | GNRI | | -0.0078 | | 26 | FGF-23 (pg/mL) | | -0.0966 | | 27 | Klotho (ng/mL) | | 0.0443 | | 28 | Interleukin-6 (pg/mL) | | 0.2634 | | 29 | Fetuin-A (pg/mL) | | -0.0234 |
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Denotes that each feature correlated with ascular calcification level using the Pearson correlation coefficient ( ). |
