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Table 3 Shift table of reclassification with different models on 2019 temporal validation set

From: Risk prediction of 30-day mortality after stroke using machine learning: a nationwide registry-based cohort study

 

Low risk (< 5%)

Moderate risk (5–15%)

High risk (> 15%)

All

Number (% in Low risk)

observed mortality (%)

Number (% in Moderate risk)

observed mortality (%)

Number (% in High risk)

observed mortality (%)

Number (% in All)

observed mortality (%)

 

LR reference model (4 variables)

XGBoost

 Number in Low risk

19,664 (92.3)

1.45

3549 (32.4)

3.07

6 (0.07)

33.33

23,219 (57.0)

1.71

 Number in Moderate risk

1351 (6.7)

8.66

5942 (54.3)

8.16

1007 (11.9)

10.43

8300 (20.4)

8.52

 Number in High risk

297 (1.4)

51.52

1455 (12.3)

28.73

7440 (88.0)

44.96

9192 (22.6)

42.60

 All

21,312 (100)

2.61

10,946 (100)

9.25

8453 (100)

40.84

40,711 (100)

12.33

 

LR

LR with elastic net and interaction terms

 Number in Low risk

22,269 (96.9)

1.75

1286 (13.3)

3.65

0 (0)

0

23,555 (57.9)

1.85

 Number in Moderate risk

705 (3.1)

6.38

7727 (79.8)

9.63

309 (3.8)

10.36

8741 (21.5)

9.39

 Number in High risk

0 (0)

0

669 (6.9)

24.51

7746 (96.2)

46.46

8415 (20.7)

44.72

 All

22,974 (100)

1.18

9682 (100)

9.50

22,974 (100)

44.85

40,711 (100)

12.33

 

LR with elastic net and interaction terms

XGBoost

 Number in Low risk

22,707 (96.4)

1.65

512 (5.9)

4.49

0 (0)

0

23,219 (57.0)

1.71

 Number in Moderate risk

846 (3.6)

7.33

7359 (84.2)

8.59

95 (1.1)

13.68

8300 (20.4)

8.52

 Number in High risk

2 (0)

0

870 (10)

19.08

8320 (98.9)

45.07

9192 (22.6)

42.60

 All

23,555 (100)

1.85

8741 (100)

9.39

8415 (100)

44.72

40,711 (100)

12.33