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Early prediction of bloodstream infections in ICU patients using machine learning methods based on routine laboratory parameters

Abstract Background Bloodstream infections (BSIs) are a major cause of morbidity and mortality in Intensive Care Units (ICUs). Although blood cultures remain the diagnostic gold standard, their long turnaround time may hinder early risk warning. Early risk stratification using routinely available la...

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Principais autores: Yanying Chen, Ziru Chen, Dongyun Xu, Shibing Li, Feixiong Chen, Xufa Yu, Shutao Cai, Cuilan Zeng, Xueyan Ye, Jie Yang, Jun Liu, Jianmei Lin, Siyu Xiao
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2025-09-01
Serier:BMC Infectious Diseases
Fag:
Prediction of bloodstream infections
Machine learning
ICU patients
Online adgang:https://doi.org/10.1186/s12879-025-11580-4
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