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Table 3 Sensitivity, specificity, positive predictive value, and negative predictive value of the training and validation group: comparing linear discriminant analysis and artificial neural network

From: Prediction of conversion of laparoscopic cholecystectomy to open surgery with artificial neural networks

Group

Statistical accuracy

Discriminant Analysis

artificial neural network

Training

Sensitivity

50.7

61.6

 

specificity

84.3

99.4

 

positive predictive value

24.7

91.8

 

negative predictive value

94.4

96.2

validation

Sensitivity

55.5

66.7

 

specificity

82.2

98.9

 

positive predictive value

23.8

85.7

 

negative predictive value

94.2

96.8

  1. The prediction models were created based on the data of training group.