Early identification of bloodstream infection in hemodialysis patients by machine learning-Reference-Cited by-同舟云学术

Early identification of bloodstream infection in hemodialysis patients by machine learning

Published:2023-07 Issue:7 Volume:9 Page:e18263
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Zhou Tong,Ren Zhouting,Ma Yimei,He Linqian,Liu Jiali,Tang Jincheng,Zhang Heping

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference41 articles.

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3. Epidemiology, surveillance, and prevention of bloodstream infections in hemodialysis patients;P.P;Am. J. Kidney Dis.,2010

4. Risk of death after first-time blood stream infection in incident dialysis patients with specific consideration on vascular access and comorbidity;Emil;BMC Infect. Dis.,2018

5. Prospective comparison of eubacterial PCR and measurement of procalcitonin levels with blood culture for diagnosing septicemia in intensive care unit patients;R.F;J. Clin. Microbiol.,2009

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