Papers: 10.1007/s00125-021-05444-0
https://doi.org/10.1007/s00125-021-05444-0
Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease
Cited by: 50
Author(s): Lili Chan, Girish N. Nadkarni, Fergus Fleming, James R. McCullough, Patricia Connolly, Gohar Mosoyan, Fadi Salem, Michael W. Kattan, Joseph A. Vassalotti, Barbara Murphy, Michael Donovan, Steven G. Coca, Scott M. Damrauer
Published: over 5 years ago
Software Mentions 2
Very Likely Science (100)
cran: randomForestSRC
Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)Papers that mentioned: 143
Very Likely Science (85)