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Table 5 Comparison of survival analysis with existing approaches in terms of accuracy

From: Advanced prognostic modeling with deep learning: assessing long-term outcomes in liver transplant recipients from deceased and living donors

Year

0.5

1

2

3

4

5

6

7

8

9

10

11

Model

Proposed model using R-Living Donor dataset (%)

90.9

90.9

90.0

97.79

98.54

99.11

98.9

98.79

98.92

98.77

99.3

99.19

Proposed model using R-Deceased Donor dataset (%)

90.95

90.81

91.12

92.68

94.55

97.14

97.62

98.32

98.62

99.25

98.94

99.21

David Guijo-Rubio et al. (2021) (%)

63.3

63.1

62.9

65.4

Najmeh Haseli et al. (2012) (%)

73

67

66

66

Raji et al. (2017) (%)

96. 03

98.94

98.35

99.64

99.61

99.35

99.84

99. 51

97.22

99.52

98.92

98.89

Year

12

13

14

15

16

17

18

19

20

21

22

23

Model

Proposed Model using R-Living Donor dataset (%)

99.51

99.11

98.79

99.04

99.33

99.75

99.58

99.66

99.6

99.83

99.69

99.16

Proposed model using R-deceased Donor dataset t (%)

99.79

99.26

99.43

99.90

99.81

99.82

99.84

99.99

99.98

99.81

99.78

99.84

David Guijo-Rubio et al. (2021) (%)

Najmeh Haseli et al. (2012) (%)

Raji et al. (2017) (%)

98.33

97.14