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.

VariableImpact coefficientHazard ratioStandard error value95% CI (RH)

Premenopausal1.353.83.1680.66 (1.930e+03)
Luminal A-1.050.3447090.990 (Inf)
Luminal B1.640.1947090.990 (Inf)
Stage II tumor-0.970.372.890.73
Stage III tumor-0.160.852.540.94
Stage IV tumor-7.270.990(Inf)
Hormone receptor EP-1.180.32.360.62
Hormone receptor other-2.940.0547090.990(Inf)
Hormone TN receptor-2.670.0747090.990 (Inf)
Age (54.70]-0.480.613.750.89
Age (70,100]0.081.083.290.97
Nodal status (0.8]1.434.192.30.53
Nodal status (19.44]1.33.682.380.58
Nodal status (8.19]0.351.422.20.87