Using Machine Learning Algorithms to Predict Candidaemia in ICU Patients With New-Onset Systemic Inflammatory Response Syndrome

Using Machine Learning Algorithms to Predict Candidaemia in ICU Patients With New-Onset Systemic Inflammatory Response Syndrome

Background: Distinguishing ICU patients with candidaemia can help with the precise prescription of antifungal drugs to create personalized guidelines. Previous prediction models of candidaemia have primarily used traditional logistic models and had some limitations. In this study, we developed a mac...

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Bibliographic Details
Main Authors: Siyi Yuan, Yunbo Sun, Xiongjian Xiao, Yun Long, Huaiwu He
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Medicine
Subjects:
critical care
XGBoost
predictive model
Candida
invasive fungal diseases
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.720926/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2021.720926/full

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