Random forest model can predict the prognosis of hospital-acquired Klebsiella pneumoniae infection as well as traditional logistic regression model.

Shuaihua Fan,Jinlan Lin,Sheng Wu,Xiangdong Mu,Jun Guo

PloS one（2022）

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摘要

The RF model has higher specificity, sensitivity, and accuracy for the prognostic prediction of hospital-acquired Klebsiella pneumoniae infection than the LR model and has greater clinical application prospects.

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关键词

klebsiella pneumoniae infection,random forest model,prognosis,hospital-acquired

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