CT-based radiomic nomogram for predicting the severity of patients with COVID-19
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2047-783X
- Umfang
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Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
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
- Urheber
-
Shi, Hengfeng
Xu, Zhihua
Cheng, Guohua
Ji, Hongli
He, Linyang
Zhu, Juan
Hu, Hanjin
Xie, Zongyu
Ao, Weiqun
Wang, Jian
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s40001-022-00634-x
- URN
-
urn:nbn:de:101:1-2022050519360442455418
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:28 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- 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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