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1 Ergebnisse
1
Machine Learning Models to Predict 24 Hour Urinary Abnormal..:
Kavoussi, Nicholas L.
;
Floyd, Chase
;
Abraham, Abin
...
Urology. 169 (2022) - p. 52-57 , 2022
Link:
https://doi.org/10.1016/j.urology.2022.07.008
RT Journal T1
Machine Learning Models to Predict 24 Hour Urinary Abnormalities for Kidney Stone Disease
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.urology.2022.07.008&Exemplar=1&LAN=DE A1 Kavoussi, Nicholas L. A1 Floyd, Chase A1 Abraham, Abin A1 Sui, Wilson A1 Bejan, Cosmin A1 Capra, John A. A1 Hsi, Ryan PB Elsevier BV YR 2022 SN 0090-4295 JF Urology VO 169 SP 52 OP 57 LK http://dx.doi.org/https://doi.org/10.1016/j.urology.2022.07.008 DO https://doi.org/10.1016/j.urology.2022.07.008 SF ELIB - SuUB Bremen
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