- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2047-783X
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
CT-based radiomic nomogram for predicting the severity of patients with COVID-19 ; volume:27 ; number:1 ; day:25 ; month:1 ; year:2022 ; pages:1-12 ; date:12.2022
European journal of medical research ; 27, Heft 1 (25.1.2022), 1-12, 12.2022
- Creator
-
Shi, Hengfeng
Xu, Zhihua
Cheng, Guohua
Ji, Hongli
He, Linyang
Zhu, Juan
Hu, Hanjin
Xie, Zongyu
Ao, Weiqun
Wang, Jian
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s40001-022-00634-x
- URN
-
urn:nbn:de:101:1-2022050519360442455418
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2025, 7:28 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
- Shi, Hengfeng
- Xu, Zhihua
- Cheng, Guohua
- Ji, Hongli
- He, Linyang
- Zhu, Juan
- Hu, Hanjin
- Xie, Zongyu
- Ao, Weiqun
- Wang, Jian
- SpringerLink (Online service)
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