Early identification of suspected serious infection among patients afebrile at initial presentation using neural network models and natural language processing: A development and external validation study in the emergency department-Reference-Cited by-同舟云学术

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Early identification of suspected serious infection among patients afebrile at initial presentation using neural network models and natural language processing: A development and external validation study in the emergency department

Published:2024-06 Issue: Volume:80 Page:67-76
ISSN:0735-6757
Container-title:The American Journal of Emergency Medicine
language:en
Short-container-title:The American Journal of Emergency Medicine

Author:

Choi Dong Hyun,Choi Sae Won,Kim Ki Hong,Choi Yeongho,Kim Yoonjic

Funder

Korea Health Industry Development Institute

National Research Foundation of Korea

Ministry of Health and Welfare

Ministry of Education

Publisher

Elsevier BV

Reference47 articles.

1. Managing adult patients with infectious diseases in emergency departments: international id-iri study;Erdem;J Chemother,2021

2. Infectious disease mortality trends in the United States, 1980-2014;Hansen;JAMA,2016

3. Global burden of infectious diseases;Michaud;Encycl Microbiol,2009

4. Mortality in sepsis and septic shock in europe, north america and Australia between 2009 and 2019- results from a systematic review and meta-analysis;Bauer;Crit Care,2020

5. The third international consensus definitions for sepsis and septic shock (sepsis-3);Singer;JAMA,2016

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