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Artificial neural networks improve and simplify intensive care mortality prognostication: a national cohort study of 217,289 first-time intensive care unit admissions

Crossref DOI link: https://doi.org/10.1186/s40560-019-0393-1

Published Online: 2019-08-16

Published Print: 2019-12

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

Authors

Holmgren, Gustav

Andersson, Peder

Jakobsson, Andreas

Frigyesi, Attila http://orcid.org/0000-0002-0155-4828
Funding

Funding for this research was provided by:

Swedish Research Council (2015-04148)
License Information

Text and Data Mining valid from 2019-08-16

Version of Record valid from 2019-08-16
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Article History

Received: 19 May 2019

Accepted: 17 July 2019

First Online: 16 August 2019

Ethics approval and consent to participate

: The study was approved by the Regional Ethical Committee in Lund, Sweden, with reference number 2016/464.

: All intensive care patients or their next of kin are given information that their data will be stored in the Swedish Intensive Care Registry and are given the option to have their data deleted. The information given includes the possibility that their data will be used for research purposes.

: The authors declare that they have no competing interests.

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