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Published in 2019 at "Urology"
DOI: 10.1016/j.urology.2018.05.041
Abstract: OBJECTIVE To explore the potential value of utilizing a commercially available cloud-based machine learning platform to predict surgical intervention in infants with prenatal hydronephrosis (HN). MATERIALS AND METHODS A prospective prenatal HN database was uploaded…
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Keywords:
machine;
prenatal hydronephrosis;
machine learning;
predictive analytics ... See more keywords