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Table 1 Results of the validation of algorithms

From: Using electronic medical records to analyze outpatient visits of persons with epilepsy during the pandemic—experience from a low middle income country

Algorithm used

Algorithm identified

Validated diagnosis of epilepsy (n = 100)

Validated diagnosis of no epilepsy

(n = 100)

Positive predictive value

(95%CI)

Sensitivity

(95% CI)

Negative predictive value

(95% CI)

Specificity (95%CI)

F Score

Drugs (iteration 1)

Yes

24

0

100%

24%

(16–33)

75%

(73–77)

100%

(96–100)

0.39

No

76

100

Keywords (iteration 2)

Yes

86

6

86%

(74–93)

86%

(78–92)

94%

(91–96)

94% (87–98)

0.86

No

14

94

Both (iteration 3)

Yes

87

7

84%

(72–91)

87%

(79–93)

94%

(91–97)

93% (86–97)

0.856

No

13

93

Final algorithm (iteration 4)

Yes

95

1

98%

(85–100)

95%

(89–98)

98%

(95–99)

99% (95–100)

0.96

No

5

99

  1. All confidence intervals estimated using binomial exact method; F scores = \(\frac{2(\text{Positive predictive value}+\text{sensitivity})}{\text{Positve predictive value}*\text{sensitivity}}\)