Computer-aided National Early Warning Score to predict the risk of sepsis following emergency medical admission to hospital: a model development and external validation study-Reference-Cited by-同舟云学术

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Computer-aided National Early Warning Score to predict the risk of sepsis following emergency medical admission to hospital: a model development and external validation study

Published:2019-04-07 Issue:14 Volume:191 Page:E382-E389
ISSN:0820-3946
Container-title:Canadian Medical Association Journal
language:en
Short-container-title:CMAJ

Author:

Faisal Muhammad,Richardson Donald,Scally Andrew J.,Howes Robin,Beatson Kevin,Speed Kevin,Mohammed Mohammed A.

Publisher

CMA Joule Inc.

Subject

General Medicine

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Combining host immune response biomarkers and clinical scores for early prediction of sepsis in infection patients;Annals of Medicine;2024-08-30

2. Accuracy of automated computer-aided risk scoring systems to estimate the risk of COVID-19: a retrospective cohort study;BMC Research Notes;2024-04-18

3. Comparing 11 early warning scores and three shock indices in early sepsis prediction in the emergency department;World Journal of Emergency Medicine;2024

4. Accuracy of automated computer-aided risk scoring systems to estimate the risk of COVID-19: a retrospective cohort study;2023-07-19

5. What's new in critical illness and injury science? The use of risk stratification tools in patients with suspected sepsis in the acute care settings;International Journal of Critical Illness and Injury Science;2023

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