Research Article

The Use of Machine Learning to Create a Risk Score to Predict Survival in Patients with Hepatocellular Carcinoma: A TCGA Cohort Analysis

Table 2

Cox regression: DFS and OS.

Disease-free survivalOverall survival
Univariate analysisMultivariate analysisUnivariate analysisMultivariate analysis
HR95% CIp valueHR95% CIp valueHR95% CIp valueHR95% CIp value

Score<0.01<0.010.010
01 : 00 reference1 : 00 reference1 : 00 reference1 : 00 reference0.01
12.571.384.800.013.411.766.61<0.011.480.832.620.181.951.033.67<0.05
23.912.117.24<0.015.542.8710.67<0.012.051.173.60<0.012.461.304.63<0.01
35.092.709.58<0.016.363.2412.49<0.012.421.344.39<0.012.921.525.62<0.01
Gender
Female1 : 00 reference1 : 00 reference1 : 00 reference1 : 00 reference
Male1.130.791.610.511.811.212.70<0.010.810.571.150.241.050.691.590.82
Age, mean STD1.000.981.010.730.990.981.000.151.011.001.030.071.000.991.020.74
Race0.12<0.010.090.13
White1 : 00 reference1 : 00 reference1 : 00 reference1 : 00 reference
Black0.250.061.020.050.160.040.670.011.310.602.850.501.190.502.810.69
Asian0.760.541.070.110.490.320.740.010.660.450.970.040.670.421.060.09
Unknown/other0.990.362.700.980.630.221.790.391.340.543.320.531.750.694.440.24
Stage0.950.85<0.01<0.01
11 : 00 reference1 : 00 reference1 : 00 reference1 : 00 reference
21.030.681.550.891.030.671.590.891.150.731.830.551.100.681.790.70
31.140.741.740.561.220.781.900.392.001.303.07<0.012.081.323.28<0.01
41.130.284.630.870.970.234.160.971.670.406.910.482.040.488.610.33
Histologic grade0.530.120.430.67
11 : 00 reference1 : 00 reference1 : 00 reference1 : 00 reference
21.470.842.580.171.971.093.550.031.070.631.810.801.190.682.090.54
31.270.712.260.431.470.802.710.220.940.541.630.811.050.591.880.87
41.130.442.930.791.460.504.280.490.340.081.490.150.530.122.410.41