Improving precision of glomerular filtration rate estimating model by ensemble learning

Improving precision of glomerular filtration rate estimating model by ensemble learning

Abstract Background Accurate assessment of kidney function is clinically important, but estimates of glomerular filtration rate (GFR) by regression are imprecise. Methods We hypothesized that ensemble learning could improve precision. A total of 1419 participants were enrolled, with 1002 in the deve...

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Bibliographic Details
Main Authors: Xun Liu, Ningshan Li, Linsheng Lv, Yongmei Fu, Cailian Cheng, Caixia Wang, Yuqiu Ye, Shaomin Li, Tanqi Lou
Format: Article
Language:English
Published: BMC 2017-11-01
Series:Journal of Translational Medicine
Subjects:
Chronic kidney disease
Glomerular filtration rate
Ensemble learning
Prediction
Precision
Online Access:http://link.springer.com/article/10.1186/s12967-017-1337-y

Internet

http://link.springer.com/article/10.1186/s12967-017-1337-y

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