Papers: 10.1038/s41598-020-75473-z
https://doi.org/10.1038/s41598-020-75473-z
Personalized prediction of delayed graft function for recipients of deceased donor kidney transplants with machine learning
Cited by: 16
Author(s): Satoru Kawakita, Jennifer L. Beaumont, Vadim Jucaud, Matthew J Everly
Published: over 4 years ago
Software Mentions 7
cran: glmnet
Lasso and Elastic-Net Regularized Generalized Linear ModelsPapers that mentioned: 1,607
Very Likely Science (100)
cran: nnet
Feed-Forward Neural Networks and Multinomial Log-Linear ModelsPapers that mentioned: 296
Very Likely Science (93)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and RegressionPapers that mentioned: 1,447
Very Likely Science (100)
Very Likely Science (100)
Very Likely Science (100)
Very Likely Science (90)
Very Likely Science (90)