Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance

Acute kidney injury (AKI) is a major complication after cardiothoracic surgery. Early prediction of AKI could prompt preventive measures, but is challenging in the clinical routine. One important reason is that the amount of postoperative data is too massive and too high-dimensional to be effectivel...

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Detalles Bibliográficos
Autores principales: Rank, Nina, Pfahringer, Boris, Kempfert, Jörg, Stamm, Christof, Kühne, Titus, Schoenrath, Felix, Falk, Volkmar, Eickhoff, Carsten, Meyer, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7588492/
https://www.ncbi.nlm.nih.gov/pubmed/33134556
http://dx.doi.org/10.1038/s41746-020-00346-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7588492/
https://www.ncbi.nlm.nih.gov/pubmed/33134556
http://dx.doi.org/10.1038/s41746-020-00346-8

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