Papers: 10.1371/journal.pone.0251800
https://doi.org/10.1371/journal.pone.0251800
Comparison of machine-learning methodologies for accurate diagnosis of sepsis using microarray gene expression data
Cited by: 5
Author(s): Dominik Schaack, Markus A. Weigand, Florian Uhle
Published: about 4 years ago
Software Mentions 5
Very Likely Science (78)
Very Likely Science (100)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and RegressionPapers that mentioned: 1,447
Very Likely Science (100)
Very Likely Science (90)
Very Likely Science (90)