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14 Results of 20 Machine-Learning Techniques to Identify Sepsis Patients in the Emergency Department

Authors :
R. Sherwin
H. Ying
Source :
Annals of Emergency Medicine. 72:S6-S7
Publication Year :
2018
Publisher :
Elsevier BV, 2018.

Subjects

Subjects :
Sepsis
business.industry
0202 electrical engineering, electronic engineering, information engineering
Emergency Medicine
medicine
020207 software engineering
02 engineering and technology
Emergency department
Medical emergency
medicine.disease
business

Details

ISSN :
01960644
Volume :
72
Database :
OpenAIRE
Journal :
Annals of Emergency Medicine
Accession number :
edsair.doi...........285f4368a8c326f93a4bb05f01a3cfeb
Full Text :
https://doi.org/10.1016/j.annemergmed.2018.08.019
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