Table 1 Final analysis of the isolates and strains using the classifier.

From: Using novel micropore technology combined with artificial intelligence to differentiate Staphylococcus aureus and Staphylococcus epidermidis

 

S. aureus testing dataset isolates  + ATCC 6538 + LAC (USA 300) + MW2

(n = 28)

S. epidermidis testing dataset isolates + ATCC 12228 (n = 26)

Determined to be S. aureus (n = 32)

27

5

Determined to be S. epidermidis (n = 22)

1

21

  1. Accuracy, 88.9%; sensitivity for S. aureus, 96.4%; specificity for S. aureus, 80.8%; positive agreement, 84.4%; negative agreement, 95.5%.
Back to article page