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Random forest model can predict the prognosis of hospital-acquired Klebsiella pneumoniae infection as well as traditional logistic regression model
OBJECTIVE: 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. METHODS: A total of 254 cases of hospital-acquired Klebsiella pneumoniae infection in a tertiary hospital in Beijing...
Autores principales: | Fan, Shuaihua, Lin, Jinlan, Wu, Sheng, Mu, Xiangdong, Guo, Jun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707746/ https://www.ncbi.nlm.nih.gov/pubmed/36445863 http://dx.doi.org/10.1371/journal.pone.0278123 |
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