Research Article
Cost Control of Treatment for Cerebrovascular Patients Using a Machine Learning Model in Western China
Table 2
Multiple linear stepwise regression results of factors influencing hospitalization expenditure in cerebrovascular disease patients.
| Variables | Regression coefficient | Standard deviation | T-statistic | value |
| Gender (take the male as a reference) | Female | −229.84 | 44.53 | −5.16 | <0.000 |
| LOS (take less than nine days as a reference) | 9 days∼13 days | 2360.58 | 57.49 | 40.12 | <0.000 | More than 13 days | 6463.63 | 59.93 | 119.86 | <0.000 |
| Level of hospital (take grade B secondary hospital as a reference) | Grade A secondary hospital | 1369.27 | 66.80 | 20.50 | <0.000 | Grade B tertiary hospital | 3542.44 | 75.10 | 47.17 | <0.000 | Grade A tertiary hospital | 6038.54 | 76.85 | 78.57 | <0.000 |
| Surgery (take having surgery as a reference) | No surgery | −1480.79 | 90.11 | −16.43 | <0.000 |
| Status on discharge (take recovery as a reference) | Transfers | −669.11 | 265.52 | −2.52 | 0.012 | Death | 3035.03 | 265.08 | 11.45 | <0.000 | Others | 16.50 | 64.99 | 0.25 | 0.80 | Midway check-out | −665.90 | 819.97 | −0.81 | 0.416 |
| Type of insurance (take urban as a reference) | Rural | −260.14 | 46.82 | −5.56 | <0.000 |
| Main comorbidities complications (take cerebral arteries lack blood supply as a reference) | Lacunar infarction | −3814.00 | 67.45 | −56.55 | <0.000 | Cerebral infarction | −3440.60 | 74.52 | −46.17 | <0.000 | Chronic cerebral ischemia | −1622.16 | 86.57 | −18.74 | <0.000 | Others | −3925.15 | 120.92 | −32.46 | <0.000 |
| Age (take less than 45 as a reference) | 45∼60 | 385.83 | 115.15 | 3.35 | 0.001 | More than 60 | 512.51 | 108.66 | 4.72 | <0.000 |
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