A Machine learning model for predicting sepsis based on an optimized assay for microbial cell-free DNA sequencing-Reference-Cited by-同舟云学术

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A Machine learning model for predicting sepsis based on an optimized assay for microbial cell-free DNA sequencing

Published:2024-06 Issue: Volume:559 Page:119716
ISSN:0009-8981
Container-title:Clinica Chimica Acta
language:en
Short-container-title:Clinica Chimica Acta

Author:

Wang Lili^ORCID,Tian Wenjie,Zhang Weijun,Wen Donghua,Yang Simin,Wang Jichao,Han Xu,Wang Jun,Ding Wenchao,Wang Lihui,Yu Yuetian,Wu Wenjuan

Publisher

Elsevier BV

Reference31 articles.

1. Sepsis and septic shock;Hotchkiss;Nat Rev Dis Primers.,2016

2. Surviving sepsis campaign: international guidelines for management of sepsis and septic shock 2021;Evans;Intensive Care Med.,2021

3. Effect of a multifaceted educational intervention for anti-infectious measures on sepsis mortality: a cluster randomized trial;Bloos;Intensive Care Med.,2017

4. Time to treatment and mortality during mandated emergency care for sepsis;Seymour;N Engl J Med.,2017

5. Delay Within the 3-Hour surviving sepsis campaign guideline on mortality for patients with severe sepsis and septic shock;Pruinelli;Crit Care Med.,2018

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