Research Article
[Retracted] Machine Learning Algorithms for Prediction of Survival Curves in Breast Cancer Patients
Table 7
Impact index, standard error, risk index,
value, and 95% confidence intervals using the Cox model in conjunction with TCGA.
| Variable | Impact coefficient | Hazard ratio | Standard error | value | 95% CI (RH) |
| Premenopausal | 1.35 | 3.8 | 3.168 | 0.66 | (1.930e+03) | Luminal A | -1.05 | 0.34 | 4709 | 0.99 | 0 (Inf) | Luminal B | 1.64 | 0.19 | 4709 | 0.99 | 0 (Inf) | Stage II tumor | -0.97 | 0.37 | 2.89 | 0.73 | | Stage III tumor | -0.16 | 0.85 | 2.54 | 0.94 | | Stage IV tumor | -7.27 | | | 0.99 | 0(Inf) | Hormone receptor EP | -1.18 | 0.3 | 2.36 | 0.62 | | Hormone receptor other | -2.94 | 0.05 | 4709 | 0.99 | 0(Inf) | Hormone TN receptor | -2.67 | 0.07 | 4709 | 0.99 | 0 (Inf) | Age (54.70] | -0.48 | 0.61 | 3.75 | 0.89 | | Age (70,100] | 0.08 | 1.08 | 3.29 | 0.97 | | Nodal status (0.8] | 1.43 | 4.19 | 2.3 | 0.53 | | Nodal status (19.44] | 1.3 | 3.68 | 2.38 | 0.58 | | Nodal status (8.19] | 0.35 | 1.42 | 2.2 | 0.87 | |
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