Research Article
Classification Algorithms for Brain Magnetic Resonance Imaging Images of Patients with End-Stage Renal Disease and Depression
Table 2
General data of patients.
| Category | Number | Profession | Number | Average age | Source of expenses | Number |
| Polycystic kidney | 14 | Worker | 26 | 50.06 ± 3.13 | Own expense | 8 | Chronic interstitial nephritis | 13 | Farmer | 12 | 42.60 ± 4.04 | District medical insurance | 8 | Obstructive nephropathy | 11 | Civil servants | 8 | 31.56 ± 5.78 | City medical insurance | 11 | Hypertensive nephropathy | 10 | Self-employed | 15 | 46.56 ± 2.28 | Social medical insurance | 14 | Chronic glomerulonephritis | 22 | Teacher | 9 | 31.06 ± 3.62 | Rural cooperative medical | 29 | Total | 70 | — | 70 | 51.56 ± 2.74 | — | — |
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