Effect of Missing Data Imputation on Deep Learning Prediction Performance for Vesicoureteral Reflux and Recurrent Urinary Tract Infection Clinical Study

Table 2

Confusion matrix.

Diagnostic test	Gold standard
	Positive	Negative	Row total
Positive	TP	FP	TP+FP (total number of subjects with positive test)	Positive predictive value TP/(TP+FP)
Negative	FN	TN	FN+TN (total number of subjects with negative test)	Negative predictive value TN/(FN+TN)
Column total	TP+FN (total number of subjects with given condition)	FP+TN (total number of subjects without given condition)	N=TP+TN+FP+FN (total number of subjects in the study)
	Sensitivity TP/(TP+FN)	Specificity TN/(FP+TN)

TP: true positive; TN: true negative; FN: false negative; FP: false positive.