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

<div>Missing ratio of variables in original (not imputed) dataset. UTI: urinary tract infection; ud: urine dipstick; us: urine sediment; USG: ultrasonography; b: blood; R: right; L: left; AP: anterior-posterior; u-le: urine-leukocyte esterase.</div>

BioMed Research International

fig5

Figure 5

Figure 5: Effect of Missing Data Imputation on Deep Learning Prediction Performance for Vesicoureteral Reflux and Recurrent Urinary Tract Infection Clinical Study 

Figure 5 | Effect of Missing Data Imputation on Deep Learning Prediction Performance for Vesicoureteral Reflux and Recurrent Urinary Tract Infection Clinical Study 