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1 Ergebnisse
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Machine learning model for predicting pancreatic fistula af..:
, In:
2023 Intelligent Methods, Systems, and Applications (IMSA)
,
Saleh, Hager
;
El-Rashidy, Nora
;
Mohamed, Eman
... - p. 217-221 , 2023
Link:
https://doi.org/10.1109/IMSA58542.2023.10217619
RT T1 <cTitle>2023 Intelligent Methods, Systems, and Applications (IMSA)</cTitle>: T1 <Title>Machine learning model for predicting pancreatic fistula after pancreatoduodenectomy</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10217619&Exemplar=1&LAN=DE A1 Saleh, Hager A1 El-Rashidy, Nora A1 Mohamed, Eman A1 Sultan, Ahmad M A1 El Nakeeb, Ayman A1 El-Sappagh, Shaker YR 2023 K1 Support vector machines K1 Radio frequency K1 Pipelines K1 Surgery K1 Predictive models K1 Decision trees K1 Pancreas K1 Machine learning K1 disease diagnosis K1 postoperative pancreatic fistula K1 pancreatoduodenectomy SP 217 OP 221 LK http://dx.doi.org/https://doi.org/10.1109/IMSA58542.2023.10217619 DO https://doi.org/10.1109/IMSA58542.2023.10217619 SF ELIB - SuUB Bremen
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