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Prediction of long-term hospitalisation and all-cause mortality in patients with chronic heart failure on Dutch claims data: a machine learning approach

Crossref DOI link: https://doi.org/10.1186/s12911-021-01657-w

Published Online: 2021-11-01

Published Print: 2021-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

van der Galiën, Onno P.

Hoekstra, René C.

Gürgöze, Muhammed T.

Manintveld, Olivier C.

van den Bunt, Mark R.

Veenman, Cor J.

Boersma, Eric
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Text and Data Mining valid from 2021-11-01

Version of Record valid from 2021-11-01
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Article History

Received: 1 July 2021

Accepted: 15 October 2021

First Online: 1 November 2021

Declarations

:

: Given the use of anonymized data, medical ethical approval was not required for this study according to the applicable rules and regulations. Patients whose data are included in the claims database used in this study gave consent through the policy conditions [CitationRef removed] for their data to be used for research purposes and in accordance with Dutch National regulations [CitationRef removed] (article 9 paragraph 2 sub 2 AVG).

: Not applicable.

: The authors declare that they have no competing interests.

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