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 infection in a tertiary hosp...

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Detalhes bibliográficos

Principais autores:	Shuaihua Fan, Jinlan Lin, Sheng Wu, Xiangdong Mu, Jun Guo
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Public Library of Science (PLoS) 2022-01-01
coleção:	PLoS ONE
Acesso em linha:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707746/?tool=EBI
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