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...

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Detalles Bibliográficos
Autores principales: Fan, Shuaihua, Lin, Jinlan, Wu, Sheng, Mu, Xiangdong, Guo, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
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

Internet

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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