Machine learning–based triage to identify low-severity patients with a short discharge length of stay in emergency department
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-227X
- Extent
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Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Machine learning–based triage to identify low-severity patients with a short discharge length of stay in emergency department ; volume:22 ; number:1 ; day:20 ; month:5 ; year:2022 ; pages:1-10 ; date:12.2022
BMC emergency medicine ; 22, Heft 1 (20.5.2022), 1-10, 12.2022
- Creator
-
Chang, Yu-Hsin
Shih, Hong-Mo
Wu, Jia-En
Huang, Fen-Wei
Chen, Wei-Kung
Chen, Dar-Min
Chung, Yu-Ting
Wang, Charles C. N.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12873-022-00632-6
- URN
-
urn:nbn:de:101:1-2022072301124032567085
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:24 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Chang, Yu-Hsin
- Shih, Hong-Mo
- Wu, Jia-En
- Huang, Fen-Wei
- Chen, Wei-Kung
- Chen, Dar-Min
- Chung, Yu-Ting
- Wang, Charles C. N.
- SpringerLink (Online service)
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