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1 Ergebnisse
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An empirical study on KDIGO-defined acute kidney injury pre..:
Lyu, Xinrui
;
Fan, Bowen
;
Hüser, Matthias
...
Bioinformatics. 40 (2024) Supplement_1 - p. i247-i256 , 2024
Link:
https://doi.org/10.1093/bioinformatics/btae212
RT Journal T1
An empirical study on KDIGO-defined acute kidney injury prediction in the intensive care unit
UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_bioinformatics_btae212&Exemplar=1&LAN=DE A1 Lyu, Xinrui A1 Fan, Bowen A1 Hüser, Matthias A1 Hartout, Philip A1 Gumbsch, Thomas A1 Faltys, Martin A1 Merz, Tobias M A1 Rätsch, Gunnar A1 Borgwardt, Karsten PB Oxford University Press (OUP) YR 2024 SN 1367-4803 SN 1367-4811 JF Bioinformatics VO 40 IS Supplement_1 SP i247 OP i256 LK http://dx.doi.org/https://doi.org/10.1093/bioinformatics/btae212 DO https://doi.org/10.1093/bioinformatics/btae212 SF ELIB - SuUB Bremen
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