Table 3.

Diagnostic performances of the QC, SNN, and GA models.

Diagnostic parameter	Quick Classifier	Supervised Neural Network	Genetic algorithm
Recognition capacity (%)	90.95	89.44	93.98
Cross validation (%)	82.90	81.50	70.28
Sensitivity (%)	84.38	87.50	90.32
Specificity (%)	78.13	72.41	65.52