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Table 4 Model performance for different points on the ROC curve when predicting the risk of severely injured (NISS > 15)

From: On Scene Injury Severity Prediction (OSISP) model for trauma developed using the Swedish Trauma Registry

Model

  

LR

   

RF

   

XGBoost

   

SVM

   

ANN

 

Dataset

A

B

C

D

A

B

C

D

A

B

C

D

A

B

C

D

A

B

C

D

Undertriagea

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

Overtriage

67

67

67

66–66

1

1

1

1–1

64

60

64

59–60

90

86

91

85–86

66

65

68

63–64

Precision

20

22

22

23–23

15

17

16

17–17

21

25

23

25–25

16

19

17

19–19

21

24

22

24–24

Undertriagea

5

5

5

5

5

5

5

5

5

5

5

5

5

5

5

5

5

5

5

5

Overtriage

49

47

49

47–48

1

55

1

54–55

46

43

45

43–44

70

61

66

60–62

49

47

50

45–47

Precision

25

29

27

28–29

15

26

16

26–26

26

31

28

31–31

19

24

21

24–24

25

29

26

29–30

Undertriage

11

10

11

10–10

17

13

16

14–14

10

8

10

8–9

17

14

17

15–15

13

11

12

10–11

Overtriagea

35

35

35

35

35

35

35

35

35

35

35

35

35

35

35

35

35

35

35

35

Precision

31

35

33

34–34

29

33

31

33–34

30

34

33

34–35

29

33

31

33–33

30

34

32

34–35

Undertriage

19

17

19

17–17

25

22

24

22–22

18

16

18

16–16

24

21

24

22–22

21

19

21

18–18

Overtriagea

25

25

25

25

25

25

25

25

25

25

25

25

25

25

25

25

25

25

25

25

Precision

36

40

38

40–40

34

39

36

39–39

37

41

38

41–41

34

39

36

39–39

36

40

37

39–40

  1. Values are presented as percentage and adenotes fixed metric values. Dataset D presented with an interval across the five imputed datasets (D1–D5)