Table 2.

Comparison of postsurgical outcome prediction between the Morphology Detector and our system. TP True Positive; TN True Negative; FP False Positive; FN False Negative; N = TP + TN + FP + FN = number of patients.

	Morphology detector prediction [%]	Hardware SNN prediction [%]
Specificity = TN/(TN + FP)	100	100
Sensitivity = TP/(TP + FN)	0	33
Negative Predictive Value = TN/(TN + FN)	67	75
Positive Predictive Value = TP/(TP + FP)	—	100
Accuracy = (TP + TN)/N [%]	67	78

The Morphology Detector did not classify a TP so that sensitivity and PPV can not be calculated.