Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2398-6352
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance ; volume:3 ; number:1 ; day:26 ; month:10 ; year:2020 ; pages:1-12 ; date:12.2020
npj digital medicine ; 3, Heft 1 (26.10.2020), 1-12, 12.2020
- Creator
-
Rank, Nina
Pfahringer, Boris
Kempfert, Jörg
Stamm, Christof
Kühne, Titus
Schoenrath, Felix
Falk, Volkmar
Eickhoff, Carsten
Meyer, Alexander Martin
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41746-020-00346-8
- URN
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urn:nbn:de:101:1-2020120511401991955977
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:27 AM CEST
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Associated
- Rank, Nina
- Pfahringer, Boris
- Kempfert, Jörg
- Stamm, Christof
- Kühne, Titus
- Schoenrath, Felix
- Falk, Volkmar
- Eickhoff, Carsten
- Meyer, Alexander Martin
- SpringerLink (Online service)
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Dynamic changes in the real-time glomerular filtration rate and kidney injury markers in different acute kidney injury models
Feature Ranking in Predictive Models for Hospital-Acquired Acute Kidney Injury
A universal predictive and mechanistic urinary peptide signature in acute kidney injury
Oliguria as predictive biomarker of acute kidney injury in critically ill patients
Predictive urinary RNA biomarkers of kidney injury after extracorporeal shock wave lithotripsy
Predictive models for kidney disease: improving global outcomes (KDIGO) defined acute kidney injury in UK cardiac surgery
Real-time sports injury monitoring system based on the deep learning algorithm
Predictive value of triglyceride glucose index in acute kidney injury in patients with severe traumatic brain injury
Time of injury affects urinary biomarker predictive values for acute kidney injury in critically ill, non-septic patients
Risk factors and predictive model for acute kidney Injury Transition to acute kidney disease in patients following partial nephrectomy
Real-time deep learning-based model predictive control of a 3-DOF biped robot leg
Long-term predictive value of acute kidney injury classification in diffuse proliferative lupus nephritis with acute kidney injury
Dynamic changes in the real-time glomerular filtration rate and kidney injury markers in different acute kidney injury models
Feature Ranking in Predictive Models for Hospital-Acquired Acute Kidney Injury
A universal predictive and mechanistic urinary peptide signature in acute kidney injury
Oliguria as predictive biomarker of acute kidney injury in critically ill patients
Predictive urinary RNA biomarkers of kidney injury after extracorporeal shock wave lithotripsy
Predictive models for kidney disease: improving global outcomes (KDIGO) defined acute kidney injury in UK cardiac surgery
Real-time sports injury monitoring system based on the deep learning algorithm
Predictive value of triglyceride glucose index in acute kidney injury in patients with severe traumatic brain injury
Time of injury affects urinary biomarker predictive values for acute kidney injury in critically ill, non-septic patients
Risk factors and predictive model for acute kidney Injury Transition to acute kidney disease in patients following partial nephrectomy