Research Article
[Retracted] Machine Learning Algorithms for Prediction of Survival Curves in Breast Cancer Patients
Table 6
Quality analysis of TCGA variables from
value and 95% CI.
| Variable | value Kaplan-Meier | 95% CI Kaplan-Meier | value Cox PH |
| Disaggregated age | <0.0001 | 0.489-1 | <0.0001 | Standard age | 0.0014 | 0.82-0.93 | 0.0004 | Age K-means | <0.0001 | 0.789-0.95 | <0.0001 | Age K-means | <0.0001 | 0.777-0.955 | <0.0001 | Disaggregated affected lymph nodes | 0.54 | 0.612-0.998 | 0.4 | Standard and paper affected nodes | 0.006 | 0.788-0.965 | 0.02 | Lymph nodes affected K-means | 0.001 | 0.785-0.967 | 0.004 | Lymph nodes affected K-means | 0.61 | 0.796-0.962 | 0.6 | Menopausal state | <0.0001 | 0.816-0.924 | <0.0001 | Tumor stage | 0.00029 | 0.809-0.942 | 0.001 | Tumor stage | <0.0001 | 0.788-0.96 | 0.01 | Hormone receptor | 0.44 | 0.803-0.949 | 0.5 | Cancer subtype | 0.18 | 0.798-0.958 | 0.2 |
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