A strategy to identify event specific hospitalizations in large health claims databases
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1472-6963
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
-
A strategy to identify event specific hospitalizations in large health claims databases ; volume:22 ; number:1 ; day:26 ; month:5 ; year:2022 ; pages:1-7 ; date:12.2022
BMC health services research ; 22, Heft 1 (26.5.2022), 1-7, 12.2022
- Creator
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Lambert, Joshua
Sandhu, Harpal
Kean, Emily
Xavier, Teenu
Brokman, Aviv
Steckler, Zachary
Park, Lee
Stromberg, Arnold
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12913-022-08107-x
- URN
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urn:nbn:de:101:1-2022072819375077375095
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:21 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
- Lambert, Joshua
- Sandhu, Harpal
- Kean, Emily
- Xavier, Teenu
- Brokman, Aviv
- Steckler, Zachary
- Park, Lee
- Stromberg, Arnold
- SpringerLink (Online service)
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Joint spatial modeling to identify shared patterns among chronic related potentially preventable hospitalizations
Machine learning to identify chronic cough from administrative claims data
Validation of administrative claims to identify ultrasound enhancing agent use
Can health care databases be used to identify incident cases of osteonecrosis?
Developing model-based algorithms to identify screening colonoscopies using administrative health databases
Technical evaluation of methods for identifying chemotherapy-induced febrile neutropenia in healthcare claims databases
A Review of Research Studies Using Data from the Administrative Claims Databases in Japan
Burden of Repeated Hospitalizations on Patients with Heart Failure: An Analysis of Administrative and Claims Data in Japan
Research on recovery strategy in embedded real-time main memory databases
Development and testing of diagnostic algorithms to identify patients with acromegaly in Southern Italian claims databases
Integration of curated databases to identify genotype-phenotype associations
Identification of volume overload hospitalizations among hemodialysis patients using administrative claims: a validation study
Joint spatial modeling to identify shared patterns among chronic related potentially preventable hospitalizations
Machine learning to identify chronic cough from administrative claims data
Validation of administrative claims to identify ultrasound enhancing agent use
Can health care databases be used to identify incident cases of osteonecrosis?
Developing model-based algorithms to identify screening colonoscopies using administrative health databases
Technical evaluation of methods for identifying chemotherapy-induced febrile neutropenia in healthcare claims databases
A Review of Research Studies Using Data from the Administrative Claims Databases in Japan
Burden of Repeated Hospitalizations on Patients with Heart Failure: An Analysis of Administrative and Claims Data in Japan