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pro vyhledávání: '"Boris Pfahringer"'
Autor:
Volkmar Falk, Titus Kühne, Felix Schoenrath, Nina Rank, Christof Stamm, Alexander Meyer, Boris Pfahringer, Carsten Eickhoff, Jörg Kempfert
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-12 (2020)
Rank, N.; Pfahringer, B.; Kempfert, J.; Stamm, C.; Kühne, T.; Schoenrath, F.; Falk, V.; Eickhoff, C.; Meyer, A.: Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance. In: npj Digital Medicine . Vol. 3 (2020) 1, 139. (DOI: /10.1038/s41746-020-00346-8)
NPJ Digital Medicine
npj Digital Medicine, 3 (1)
Rank, N.; Pfahringer, B.; Kempfert, J.; Stamm, C.; Kühne, T.; Schoenrath, F.; Falk, V.; Eickhoff, C.; Meyer, A.: Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance. In: npj Digital Medicine . Vol. 3 (2020) 1, 139. (DOI: /10.1038/s41746-020-00346-8)
NPJ Digital Medicine
npj Digital Medicine, 3 (1)
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