Predictor of surgery for unilateral intrarenal UPJO
We propose a tool that can be took as an aid to physicians to improve decision-making，Artificial intelligence algorithm is fitful.
Collecting and analyzing the cases visited on the biggest children’s medical center among southwest in china on account of hydronephrosis 2013.9.30-2018.6.30 and processing with binary multiple logistic regression comparing to random forest and Support Vector Machine algorithm. All cases were keeping follow-up except for one was recommended surgical treatment or waiting for hospitalization in compliance with surgical indications at least for two years. The main event of interest was the need of pyeloplasty or not.
