- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1472-6823
- Extent
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Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Prediction model for thyrotoxic atrial fibrillation: a retrospective study ; volume:21 ; number:1 ; day:11 ; month:7 ; year:2021 ; pages:1-14 ; date:12.2021
BMC endocrine disorders ; 21, Heft 1 (11.7.2021), 1-14, 12.2021
- Creator
-
Ponomartseva, Daria Aleksandrovna
Derevitskii, Ilia Vladislavovich
Kovalchuk, Sergey Valerevich
Babenko, Alina Yurevna
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12902-021-00809-3
- URN
-
urn:nbn:de:101:1-2021101622052792054936
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:23 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
- Ponomartseva, Daria Aleksandrovna
- Derevitskii, Ilia Vladislavovich
- Kovalchuk, Sergey Valerevich
- Babenko, Alina Yurevna
- SpringerLink (Online service)
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Application of artificial intelligence ensemble learning model in early prediction of atrial fibrillation
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Schwerpunktthema Vorhofflimmern : = Atrial fibrillation
Atrial fibrillation
Polygenic risk scores for prediction of atrial fibrillation
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Prediction of ineffective elective cardioversion of atrial fibrillation: a retrospective multi-center patient cohort study
Application of artificial intelligence ensemble learning model in early prediction of atrial fibrillation
A novel nomogram prediction model for postoperative atrial fibrillation in patients undergoing laparotomy
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