Predicting high health-cost users among people with cardiovascular disease using machine learning and nationwide linked social administrative datasets

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2191-1991

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Predicting high health-cost users among people with cardiovascular disease using machine learning and nationwide linked social administrative datasets ; volume:13 ; number:1 ; day:4 ; month:2 ; year:2023 ; pages:1-13 ; date:12.2023
Health economics review ; 13, Heft 1 (4.2.2023), 1-13, 12.2023

Creator: Nghiem Nhung
Atkinson, June
Nguyen, Binh P.
An Tran-Duy
Wilson, Nick

Contributor: SpringerLink (Online service)

DOI: 10.1186/s13561-023-00422-1

URN: urn:nbn:de:101:1-2023040909082146028157

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:49 AM CEST

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Nghiem Nhung
Atkinson, June
Nguyen, Binh P.
An Tran-Duy
Wilson, Nick
SpringerLink (Online service)

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Predicting high health-cost users among people with cardiovascular disease using machine learning and nationwide linked social administrative datasets

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