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Table 2 C-index for 30-day mortality

From: The predictive value of machine learning for mortality risk in patients with acute coronary syndromes: a systematic review and meta-analysis

No

Model

Training cohort

Validation cohort

Number of models

C-index (95% CI)

Number of models

C-index (95% CI)

1

LR

7

0.8249 [0.7952; 0.8556]

6

0.8298 [0.8135; 0.8464]

2

RF

3

0.9051 [0.8914; 0.9191]

5

0.8118 [0.7903; 0.8340]

3

ANN

3

0.8478 [0.8262; 0.8699]

2

0.8181 [0.7828; 0.8549]

4

DT

4

0.7831 [0.6766; 0.9063]

1

0.7800 [0.7701; 0.7901]

5

SVM

3

0.8919 [0.8752; 0.9089]

3

0.8852 [0.8635; 0.9075]

6

NB

4

0.7992 [0.7429; 0.8598]

  

7

AdaBoost

1

0.8700 [0.8405; 0.9005]

  

8

BN

2

0.7712 [0.7351; 0.8091]

  

9

LDA

1

0.8410 [0.8069; 0.8766]

  

10

Other

2

0.6400 [0.5944; 0.6890]

  

11

Overall

30

0.8208 [0.7940; 0.8485]

17

0.8296 [0.8134; 0.8462]