Research Article
[Retracted] Machine Learning Algorithms for Prediction of Survival Curves in Breast Cancer Patients
Table 11
Impact index, standard error, risk index,
value, and 95% confidence intervals using the Cox model as a whole Hospital.
| Variable | Impact coefficient | Hazard ratio | Standard error | value | 95% CI (RH) |
| Postmenopausal | -3.54 | 0.28 | 6.08 | 0.56 | (4370) | Luminal B | -0.76 | 0.46 | 3.14 | 0.81 | (222) | Intermediate risk | -0.59 | 0.55 | 0.89 | 0.88 | (222) | High risk | -2.15 | 1.97 | 6.52 | 0.74 | (1850) | Tamoxifen | -2.35 | 0.12 | 3.39 | 0.49 | | Tamoxifen-IA | -1.73 | 0.18 | 4.01 | 0.66 | (73.3) | Tumor size (10.20] | -2.09 | 0.12 | 3.81 | 0.58 | (218) | Tumor size (20,30] | 0.22 | 1.25 | 5.01 | 0.96 | | Tumor size (30,100] | -2.18 | 0.11 | 4.38 | 0.62 | (602) | Ki67 borderline | 2.05 | 7.78 | 4.92 | 0.68 | | Ki67 high | 2.11 | 8.23 | 4.04 | 0.6 | | Hormone receptor EP + RP | 1.48 | 4.39 | 4 | 0.71 | | Age (44.56] | 2.16 | 8.66 | 5.63 | 0.7 | | Age (56.69] | 3.48 | 32.35 | 6.41 | 0.58 | | Age (69,100] | 3.76 | 43.11 | 8.4 | 0.65 | | Nodal status (0.10] | 0.88 | 2.41 | 4.49 | 0.84 | | Nodal status (10.25] | 1.35 | 3.87 | 6.5 | 0.83 | | gg extracted (1.11] | 1.05 | 2.84 | 4.42 | 0.81 | | gg extracted (11.17] | 1.27 | 3.57 | 4.57 | 0.78 | | gg extracted (17.32] | 8.17 | 1.08 | 5.61 | 0.98 | |
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