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1
An Ensemble Machine Learning Model to Investigate the Scree..:
, In:
2021 International Congress of Advanced Technology and Engineering (ICOTEN)
,
Adam, Ali A.
;
Elhag, Nihad A. A.
;
Saeed, Fakhreldeen Abbas
... - p. 1-5 , 2021
Link:
https://doi.org/10.1109/ICOTEN52080.2021.9493517
RT T1 <cTitle>2021 International Congress of Advanced Technology and Engineering (ICOTEN)</cTitle>: T1 <Title>An Ensemble Machine Learning Model to Investigate the Screening System for Identification of Potential Patients with COVID-19 in Sudan</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9493517&Exemplar=1&LAN=DE A1 Adam, Ali A. A1 Elhag, Nihad A. A. A1 Saeed, Fakhreldeen Abbas A1 Yagob, Mohamed A1 Mohamed, Fayha A1 Eassa, N. A1 Abdalaziz, Hanaa S. A1 Ahmed, M. A. A1 Babiker, Sharief F. YR 2021 K1 COVID-19 K1 Sensitivity K1 Urban areas K1 Static VAr compensators K1 Clustering algorithms K1 Support vector machine classification K1 Predictive models K1 K-mode Clustering K1 Machine Learning K1 Support Vector Classifier SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICOTEN52080.2021.9493517 DO https://doi.org/10.1109/ICOTEN52080.2021.9493517 SF ELIB - SuUB Bremen
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