Developing neural network models for early detection of cardiac arrest in emergency department-Reference-Cited by-同舟云学术

Developing neural network models for early detection of cardiac arrest in emergency department

Published:2020-01 Issue:1 Volume:38 Page:43-49
ISSN:0735-6757
Container-title:The American Journal of Emergency Medicine
language:en
Short-container-title:The American Journal of Emergency Medicine

Author:

Jang Dong-Hyun^ORCID,Kim Joonghee^ORCID,Jo You Hwan,Lee Jae Hyuk,Hwang Ji Eun,Park Seung Min,Lee Dong Keon^ORCID,Park Inwon^ORCID,Kim Doyun^ORCID,Chang Hyunglan^ORCID

Funder

Seoul National University

Publisher

Elsevier BV

Subject

Emergency Medicine,General Medicine

Reference20 articles.

1. Effect of emergency department crowding on outcomes of admitted patients;Sun;Ann Emerg Med,2013

2. Prognostic value of early warning scores in the emergency department (ED) and acute medical unit (AMU): a narrative review;Nannan Panday;Eur J Intern Med,2017

3. The identification of risk factors for cardiac arrest and formulation of activation criteria to alert a medical emergency team;Hodgetts;Resuscitation,2002

4. How accurate are vital signs in predicting clinical outcomes in critically ill emergency department patients;Hong;Eur J Emerg Med,2013

5. ViEWS—towards a national early warning score for detecting adult inpatient deterioration;Prytherch;Resuscitation,2010

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