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Table 5 Model evaluation

From: A practical method for predicting frequent use of emergency department care using routinely available electronic registration data

  

Multivariable Logistic Regression Models

Model No.

1

2

3

4

5

6

7

8

9

No. of visits constituting ‘frequent use’

> = 8

> = 9

> = 10

> = 11

> = 12

> = 13

> = 14

> = 15

> = 16

Area under ROC curve (AUC)

0.84

0.85

0.87

0.88

0.89

0.89

0.90

0.91

0.92

With sensitivity < =25 %, probability > 0.5

PPV (%)

64.5

63.9

63.4

62.9

62.4

61.3

60.8

60.6

59.5

Specificity (%)

99.5

99.6

99.7

99.7

99.8

99.8

99.8

99.8

99.9

False positive patients

Total No.

5883

4923

4125

3447

2974

2610

2273

2007

1805

> = 8 visits (No.)

0

565

843

1021

1071

1103

1077

1038

998

Adjusted PPV for patients with > =8 visits in subsequent two years (%)

64.5

68

70.9

73.9

75.9

77.7

79.4

81

81.9