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Table 2 Performance of the models for predicting all-cause mortality in the test set

From: Machine learning for predicting all-cause mortality of metabolic dysfunction-associated fatty liver disease: a longitudinal study based on NHANES

Models

Time-dependent AUC

Time-dependent brier

C-index

Coxnet

 Time = 5 years

0.82(0.73,0.88)

0.04(0.03,0.05)

0.81(0.73,0.88)

 Time = 10 years

0.84(0.79,0.88)

0.08(0.07,0.09)

0.82(0.77,0.87)

 Time = 15 years

0.86(0.83,0.89)

0.11(0.10,0.12)

0.83(0.80,0.86)

 Time = 20 years

0.87(0.84,0.90)

0.12(0.11,0.14)

0.82(0.80,0.85)

 Time = 25 years

0.88(0.85,0.90)

0.13(0.12,0.15)

0.82(0.80,0.84)

Random survival forest(RSF)

 Time = 5 years

0.83(0.75,0.89)

0.04(0.03,0.05)

0.82(0.74,0.89)

 Time = 10 years

0.85(0.81,0.89)

0.08(0.07,0.10)

0.83(0.79,0.87)

 Time = 15 years

0.86(0.83,0.89)

0.11(0.10,0.13)

0.83(0.79,0.86)

 Time = 20 years

0.87(0.88,0.90)

0.13(0.12,0.14)

0.83(0.80,0.85)

 Time = 25 years

0.87(0.85,0.90)

0.14(0.13,0.15)

0.82(0.79,0.84)

Gradient Boosted Survival (GBM)

 Time = 5 years

0.86(0.79,0.92)

0.04(0.03,0.05)

0.63(0.52,0.74)

 Time = 10 years

0.89(0.85,0.92)

0.07(0.06,0.08)

0.57(0.50,0.64)

 Time = 15 years

0.90(0.87,0.93)

0.09(0.08,0.11)

0.61(0.55,0.66)

 Time = 20 years

0.91(0.89,0.93)

0.11(0.09,0.12)

0.65(0.60,0.69)

 Time = 25 years

0.92(0.90,0.94)

0.11(0.10,0.12)

0.68(0.64,0.71)