ARIMA model for predicting chronic kidney disease and estimating its economic burden in China
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2458
- Extent
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Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
ARIMA model for predicting chronic kidney disease and estimating its economic burden in China ; volume:22 ; number:1 ; day:30 ; month:12 ; year:2022 ; pages:1-9 ; date:12.2022
BMC public health ; 22, Heft 1 (30.12.2022), 1-9, 12.2022
- Classification
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Wirtschaft
- Creator
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Jian, Yining
Zhu, Di
Zhou, Dongnan
Li, Nana
Du, Han
Dong, Xue
Fu, Xuemeng
Tao, Dong
Han, Bing
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12889-022-14959-z
- URN
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urn:nbn:de:101:1-2023031109131972450062
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:48 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
- Jian, Yining
- Zhu, Di
- Zhou, Dongnan
- Li, Nana
- Du, Han
- Dong, Xue
- Fu, Xuemeng
- Tao, Dong
- Han, Bing
- SpringerLink (Online service)
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