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

Stefan M Kallenberger^{1

2}, Constanze Schmidt^{3

4

5}

Affiliations

¹ Digital Health Center, Berlin Institute of Health (BIH) and Charité, Berlin, Germany.
² Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
³ Department of Cardiology, University of Heidelberg, Im Neuenheimer Feld 410, Heidelberg, Germany.
⁴ DZHK (German Center for Cardiovascular Research), Partner Site Heidelberg/Mannheim, University of Heidelberg, Im Neuenheimer Feld 410, Heidelberg, Germany.
⁵ HCR, Heidelberg Center for Heart Rhythm Disorders, University of Heidelberg, Im Neuenheimer Feld 410, Germany.

Comment

Stefan M Kallenberger et al. Cardiovasc Res. 2019.

. 2019 Dec 1;115(14):e155-e157.

doi: 10.1093/cvr/cvz279.

Stefan M Kallenberger^{1

2}, Constanze Schmidt^{3

4

5}

¹ Digital Health Center, Berlin Institute of Health (BIH) and Charité, Berlin, Germany.
² Division of Theoretical Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
³ Department of Cardiology, University of Heidelberg, Im Neuenheimer Feld 410, Heidelberg, Germany.
⁴ DZHK (German Center for Cardiovascular Research), Partner Site Heidelberg/Mannheim, University of Heidelberg, Im Neuenheimer Feld 410, Heidelberg, Germany.
⁵ HCR, Heidelberg Center for Heart Rhythm Disorders, University of Heidelberg, Im Neuenheimer Feld 410, Germany.

No abstract available

Keywords: Acute kidney failure; Artificial intelligence; Deep learning; Disease prevention; Recurrent neural network.

Comment on

A clinically applicable approach to continuous prediction of future acute kidney injury.
Tomašev N, Glorot X, Rae JW, Zielinski M, Askham H, Saraiva A, Mottram A, Meyer C, Ravuri S, Protsyuk I, Connell A, Hughes CO, Karthikesalingam A, Cornebise J, Montgomery H, Rees G, Laing C, Baker CR, Peterson K, Reeves R, Hassabis D, King D, Suleyman M, Back T, Nielson C, Ledsam JR, Mohamed S. Tomašev N, et al. Nature. 2019 Aug;572(7767):116-119. doi: 10.1038/s41586-019-1390-1. Epub 2019 Jul 31. Nature. 2019. PMID: 31367026 Free PMC article.