Predicting posterior urethral obstruction in boys with lower urinary tract symptoms using deep artificial neural network.

Journal: World journal of urology

PMID: 30515594

Abstract

PURPOSE: To assess the prediction model for late-presenting posterior urethral valve (PUV) in boys with lower urinary tract symptoms (LUTS) using artificial neural network (ANN).

Authors

S Abdovic

Department of Pediatric Nephrology, Children's Hospital Zagreb, Klaiceva 16, 10000, Zagreb, Croatia. sabdovic@gmail.com.
M Cuk

Department of Pediatric Nephrology, Children's Hospital Zagreb, Klaiceva 16, 10000, Zagreb, Croatia.
N Cekada

Department of Pediatric Nephrology, Children's Hospital Zagreb, Klaiceva 16, 10000, Zagreb, Croatia.
M Milosevic

Andrija Stampar School of Public Health, University of Zagreb School of Medicine, Zagreb, Croatia.
A Geljic

Department of Pediatric Nephrology, Children's Hospital Zagreb, Klaiceva 16, 10000, Zagreb, Croatia.
S Fusic

Department of Pediatric Nephrology, Children's Hospital Zagreb, Klaiceva 16, 10000, Zagreb, Croatia.
M Bastic

Department of Pediatric Urology, Children's Hospital Zagreb, Zagreb, Croatia.
Z Bahtijarevic

Department of Pediatric Urology, Children's Hospital Zagreb, Zagreb, Croatia.

Keywords

Adolescent Child Child, Preschool Humans Lower Urinary Tract Symptoms Male Neural Networks, Computer Predictive Value of Tests Retrospective Studies Urethral Obstruction

External Resources

View on PubMed Access via DOI PubMed (30515594)

Predicting posterior urethral obstruction in boys with lower urinary tract symptoms using deep artificial neural network.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals