Machine learning-based models to support decision-making in emergency department triage for patients with suspected cardiovascular disease-Reference-Cited by-同舟云学术

Machine learning-based models to support decision-making in emergency department triage for patients with suspected cardiovascular disease

Published:2021-01 Issue: Volume:145 Page:104326
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Jiang Huilin,Mao Haifeng,Lu Huimin,Lin Peiyi,Garry Wei,Lu Huijing,Yang Guangqian,Rainer Timothy H.,Chen Xiaohui

Funder

Major Project of Guangzhou Health Science and Technology

Key Medical Disciplines and Specialities Program of Guangzhou

Publisher

Elsevier BV

Subject

Health Informatics

Reference41 articles.

1. Reducing the global burden of cardiovascular disease, part 1;Joseph;Circ. Res.,2017

2. Heart disease and stroke statistics-2019 update: a report from the American Heart Association;Benjamin;Circulation,2019

3. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010;Lozano;Lancet,2012

4. Epidemiological analysis and disease spectrum characteristics of emergency patients with critical illness: 3176 emergency cases in 2017 in a hospital in Beijing were analyzed;Wang;Zhonghua Wei Zhong Bing Ji Jiu Yi Xue,2018

5. The role descriptions of triage nurse in emergency department: a Delphi study;Ebrahimi;Scientifica,2016

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