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Table 3 C-index for 3- or 6-month 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

0.8334 [0.8046; 0.8632]

3

0.8362 [0.7974; 0.8768]

2

RF

3

0.8304 [0.7542; 0.9143]

1

0.8500 [0.8450; 0.8550]

3

ANN

5

0.8436 [0.8041; 0.8850]

3

0.8054 [0.7340; 0.8838]

4

DT

1

0.7700 [0.7406; 0.8006]

1

0.7800 [0.7221; 0.8425]

5

SVM

2

0.7031 [0.6336; 0.7803]

  

6

XGBoost

2

0.8119 [0.7599; 0.8675]

  

7

Overall

20

0.8227 [0.8001; 0.8460]

8

0.8205 [0.7881; 0.8541]