Correction to: Big data ordination towards intensive care event count cases using fast computing GLLVMS
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2288
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Correction to: Big data ordination towards intensive care event count cases using fast computing GLLVMS ; volume:22 ; number:1 ; day:18 ; month:4 ; year:2022 ; pages:1 ; date:12.2022
BMC medical research methodology ; 22, Heft 1 (18.4.2022), 1, 12.2022
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12874-022-01602-z
- URN
-
urn:nbn:de:101:1-2022070209043098129875
- 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
- Caraka, Rezzy Eko
- Chen, Rung-Ching
- Huang, Su-Wen
- Chiou, Shyue-Yow
- Gio, Prana Ugiana
- Pardamean, Bens
- SpringerLink (Online service)
Other Objects (12)
Big data ordination towards intensive care event count cases using fast computing GLLVMS
Data intensive computing for biodiversity
Big Data & Cloud Computing : Industrie 4.0
Computing and software for big science
Computing in anesthesia and intensive care
BIG TRAJECTORY DATA: A DISTRIBUTED COMPUTING PERSPECTIVE
Making Komplett big by going small: Making every mistake count
Big data analytics in Cloud computing: an overview
Erarbeitung einer grafischen Benutzerschnittstelle für das Intensive Computing
Data classification algorithm for data-intensive computing environments
Blockchain localization cloud computing big data application evaluation method
CLASSIFICATION OF BIG POINT CLOUD DATA USING CLOUD COMPUTING
Big data ordination towards intensive care event count cases using fast computing GLLVMS
Data intensive computing for biodiversity
Big Data & Cloud Computing : Industrie 4.0
Computing and software for big science
Computing in anesthesia and intensive care
BIG TRAJECTORY DATA: A DISTRIBUTED COMPUTING PERSPECTIVE
Making Komplett big by going small: Making every mistake count
Big data analytics in Cloud computing: an overview
Erarbeitung einer grafischen Benutzerschnittstelle für das Intensive Computing
Data classification algorithm for data-intensive computing environments
Blockchain localization cloud computing big data application evaluation method
CLASSIFICATION OF BIG POINT CLOUD DATA USING CLOUD COMPUTING
Big data ordination towards intensive care event count cases using fast computing GLLVMS
Data intensive computing for biodiversity
Big Data & Cloud Computing : Industrie 4.0
Computing and software for big science
Computing in anesthesia and intensive care
BIG TRAJECTORY DATA: A DISTRIBUTED COMPUTING PERSPECTIVE
Making Komplett big by going small: Making every mistake count
Big data analytics in Cloud computing: an overview
Erarbeitung einer grafischen Benutzerschnittstelle für das Intensive Computing
Data classification algorithm for data-intensive computing environments
Blockchain localization cloud computing big data application evaluation method