Random forest model can predict the prognosis of hospital-acquired Klebsiella pneumoniae infection as well as traditional logistic regression model
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DOI: 10.1371/journal.pone.0278123
Abstract: 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… read more here.
Keywords: klebsiella pneumoniae; infection; acquired klebsiella; hospital acquired ... See more keywords