Random forest model can predict the prognosis of hospital-acquired Klebsiella pneumoniae infection as well as traditional logistic regression model
<h4>Objective</h4> To explore if random forest (RF) model can predict the prognosis of hospital-acquired Klebsiella pneumoniae infection as well as traditional logistic regression(LR) model. <h4>Methods</h4> A total of 254 cases of hospital-acquired Klebsiella pneumoniae infe...
| Published in: | PLoS ONE |
|---|---|
| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-01-01
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707746/?tool=EBI |
