Improving glomerular filtration rate estimation by semi-supervised learning: a development and external validation study

ConclusionsThe superior performance of the semi-supervised models during head-to-head comparisons supported the hypothesis that semi-supervised learning technology could improve GFR estimation performance.
Source: International Urology and Nephrology - Category: Urology & Nephrology Source Type: research