Continuous prediction of future acute kidney injury: a step forward

Affiliations

¹ Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Vanderbilt Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Veterans Administration Tennessee Valley Healthcare System, Nashville, Tennessee, USA.
² Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Vanderbilt Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Veterans Administration Tennessee Valley Healthcare System, Nashville, Tennessee, USA. Electronic address: alp.ikizler@vanderbilt.edu.

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Edward D Siew et al. Kidney Int. 2020 Jun.

Free article

. 2020 Jun;97(6):1094-1096.

doi: 10.1016/j.kint.2020.02.013.

¹ Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Vanderbilt Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Veterans Administration Tennessee Valley Healthcare System, Nashville, Tennessee, USA.
² Department of Medicine, Division of Nephrology and Hypertension, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Vanderbilt Center for Kidney Disease, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Veterans Administration Tennessee Valley Healthcare System, Nashville, Tennessee, USA. Electronic address: alp.ikizler@vanderbilt.edu.

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Keywords: acute kidney injury; hemodialysis; machine learning; risk prediction.

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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.