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Table 3 The 12 most prognostic factors for the neural networks with 1 and 2 hidden layers (Rel-Imp: relative importance) and for the Random Survival Forest (VIMP: variable importance). Note that the NN utilises time intervals as one of the input variables (check the contribution of time intervals in Table 1 of Additional file 1). For RSF importance is measured for each variable without distinction for each level

From: Survival prediction models since liver transplantation - comparisons between Cox models and machine learning techniques

Neural network 1h Rel-Imp Neural network 2h Rel-Imp RSF VIMP
Re-transplantation 0.035 Re-transplantation 0.028 Donor age 0.010
Life-support 0.025 HCV (d) serology status 0.025 Re-transplantation 0.009
Pre-treatment status ICU (a) 0.023 Life-support 0.024 Life support 0.007
Donor type DCD (b) 0.023 Donor age 0.023 HCV (d) serology status 0.007
Race Black (c) 0.022 Diabetes 0.021 Pre-treatment status 0.006
HCV (d) serology status 0.022 Pre-treatment status ICU (a) 0.020 Recipient age 0.004
Diabetes 0.020 Working income 0.020 Aetiology 0.003
Donor age 0.020 Race Black (c) 0.019 log(Last serum creatinine) 0.003
Working income 0.018 Previous abdominal surgery 0.015 Functional status 0.002
Functional status Total assistance (e) 0.017 Donor pre-recovery diuretics 0.015 log(Total cold ischemic time) 0.002
Aetiology HCV 0.017 Aetiology Cholestatic 0.011 Race 0.002
Hypertensive bleeding 0.017 Functional status Total assistance (e) 0.015 Diabetes 0.002
  1. (a): Intense Care Unit vs Non-hospitalised/Hospitalised (b): Donor type DCD (Donor Circulatory Dead) vs DBD (Donor after Brain-Dead), (c): Race Black vs White, (d): Chronic hepatitis C virus, (e): Total assistance vs No assistance