Research Article
[Retracted] Prognostic Diagnosis for Breast Cancer Patients Using Probabilistic Bayesian Classification
Table 1
Dataset sample characteristics.
| Feature name | Value | Number of samples (percentage) | Mean |
| Track time | 0~59 | 4405 (100) | 37.89 | State | Die | 160 (3.8) | | Survive | 4250 (95.69) | | Total number of lymph nodes | 1~84 | 4405 (100) | 12.68 | Number of positive lymph nodes | 1~82 | 4405 (100) | 4.71 | Age at diagnosis | 20~80 | 4405 (100) | 57.12 | [20,30) | 48 (1.3) | | [30,40) | 334 (8.6) | | [40,50) | 951 (26.34) | | [50,60) | 1064 (28.26) | | [60,70) | 975 (25.18) | | [70,80] | 520 (13.25) | | T stage | T0 | 78 (1.9) | | T1 | 1028 (32.8) | | T2 | 1766 (40.4) | | T3 | 600 (13.8) | | T4 | 235 (5.6) | | TX adjusted | 58 (1.4) | | Others | 240 (5.5) | | M stage | M0 | 4112 (94.12) | | M1 | 240 (5.6) | | M2 | 53 (1.4) | | N stage | N1 | 2870 (65.4) | | N2 | 889 (20.11) | | N3 | 588 (13.6) | | NX adjusted | 58 (1.2) | |
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