Forecasting the development of acute kidney injury using a recurrent neural network

Commentary on ‘A clinically applicable approach to continuous prediction of future acute kidney injury’, by N. Tomašev et al., Nature, 2019.

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Bibliographic Details
Main Authors: Kallenberger, Stefan M. (Author) , Schmidt, Constanze (Author)
Format: Article (Journal)
Language:English
Published: 07 November 2019
In: Cardiovascular research
Year: 2019, Volume: 115, Issue: 14, Pages: e155-e157
ISSN:1755-3245
DOI:10.1093/cvr/cvz279
Online Access:Verlag, lizenzpflichtig, Volltext: https://dx.doi.org/10.1093/cvr/cvz279
Verlag, lizenzpflichtig, Volltext: https://academic.oup.com/cardiovascres/article/115/14/e155/5614324
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Author Notes:Stefan M. Kallenberger and Constanze Schmidt
Description
Summary:Commentary on ‘A clinically applicable approach to continuous prediction of future acute kidney injury’, by N. Tomašev et al., Nature, 2019.
Item Description:Gesehen am 08.06.2020
Physical Description:Online Resource
ISSN:1755-3245
DOI:10.1093/cvr/cvz279