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Predicting life expectancy with a long short-term memory recurrent neural network using electronic medical records

Crossref DOI link: https://doi.org/10.1186/s12911-019-0775-2

Published Online: 2019-02-28

Published Print: 2019-12

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

Authors

Beeksma, Merijn https://orcid.org/0000-0003-1587-1100
Verberne, Suzan

van den Bosch, Antal

Das, Enny

Hendrickx, Iris

Groenewoud, Stef
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Text and Data Mining valid from 2019-02-28
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Article History

Received: 13 February 2018

Accepted: 18 February 2019

First Online: 28 February 2019

Ethics approval and consent to participate

: The data used in this study were gathered through an informed opt-out procedure by the Transitie Project. The Transitie Project, hosted at the academic hospital Radboudumc, approved the use of their data for this research. Retrospective research on patient files requires adherence to the Personal Data Protection Act. Therefore the data were anonymized and processed in a secure research environment.As determined by the Central Committee on Research Involving Human Subjects (the national medical-ethical review committee, ), this research does not fall under the scope of the Medical Research Involving Human Subjects Act (WMO), as no research subjects were physically involved in this study, nor were the data gathered for the sake of this research. Therefore, no further ethics approval was required. For more information, we refer the reader to .

: Not applicable.

: The authors declare that they have no competing interests.

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