Research Article
Application of Data Mining in WITMED: Identification of Prognostic Genes in Oral Cancer
Table 4
Clinical information statistics table.
| Factors | Patients (death) | Log-rank test value | HR (95% CI) |
| Alcohol history documented | | 7.000E − 16 | 6.922 (4.058, 11.81) | Yes | 111/309 | | | No | 81/166 | | |
| Gender | | 8.000E − 07 | 4.384 (2.321, 8.279) | Male | 128/346 | | | Female | 68/139 | | |
| Age | | 5.000E − 13 | 5.704 (3.381, 9.625) | >61 | 109/229 | | | ≤61 | 87/255 | | |
| Smoking history | | 3.000E − 10 | 5.304 (2.979, 9.443) | Yes | 110/237 | | | No | 86/248 | | |
| Pathologic T | | 1.000E − 10 | 13.840 (4.919, 38.93) | T1–T3 | 109/288 | | | T4 | 84/182 | | |
| Cancer status | | 0.005 | 1.926 (1.209, 3.069) | With tumor | 102/121 | | | Tumor free | 66/334 | | |
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