An intelligent warning model for early prediction of cardiac arrest in sepsis patients
Author:
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications,Software
Reference23 articles.
1. Cardiac arrest among patients with infections: causes, clinical practice and research implications;Leoni;Clin. Microbiol. Infect.,2017
2. Epidemiology of severe sepsis: 2008-2012;Stoller;J. Crit. Care,2016
3. Sepsis-associated in-hospital cardiac arrest: epidemiology, pathophysiology, and potential therapies;Morgan;J. Crit. Care,2017
4. Toward analyzing and synthesizing previous research in early prediction of cardiac arrest using machine learning based on a multi-layered integrative framework;Javan;J. Biomed. Informat.,2018
5. Dynamic data during hypotensive episode improves mortality predictions among patients with sepsis and hypotension;Mayaud;Crit. Care Med.,2013
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