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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