A warning system for urolithiasis via retrograde intrarenal surgery using machine learning: an experimental study

BMC Urology

Table 1 Accuracy performance metrics (averaged accuracies and their standard deviations) for each selected wavelet

Predictive accuracy	Harr	db2	db4	rbio2.4	dmey
Mean	0.939	0.948	0.946	0.945	0.950
Std. Dev.	0.016	0.014	0.015	0.015	0.015

A case with a dmey wavelet shows the best performance in terms of the accuracy metric (marked in bold)

ISSN: 1471-2490