An Ensemble Machine Learning Model to Investigate the Screening System for Identification of Potential Patients with COVID-19 in Sudan

Fakhreldeen Saeed; Ali A. Adam; Nihad A. A. Elhag; Fakhreldeen Abbas Saeed; Mohamed Yagob; Fayha Mohamed; N. Eassa; Hanaa S. Abdalaziz; M. A. Ahmed; Sharief F. Babiker

doi:10.1109/icoten52080.2021.9493517

An Ensemble Machine Learning Model to Investigate the Screening System for Identification of Potential Patients with COVID-19 in Sudan

Fakhreldeen Saeed, Ali A. Adam, Nihad A. A. Elhag, Fakhreldeen Abbas Saeed, Mohamed Yagob, Fayha Mohamed, N. Eassa, Hanaa S. Abdalaziz, M. A. Ahmed, Sharief F. Babiker

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	2021 International Congress of Advanced Technology and Engineering (ICOTEN)
DOIs	https://doi.org/10.1109/icoten52080.2021.9493517
Publication status	Published - 4 Jul 2021

Access to Document

10.1109/icoten52080.2021.9493517

Cite this

Saeed, F., Adam, A. A., Elhag, N. A. A., Saeed, F. A., Yagob, M., Mohamed, F., Eassa, N., Abdalaziz, H. S., Ahmed, M. A., & Babiker, S. F. (2021). An Ensemble Machine Learning Model to Investigate the Screening System for Identification of Potential Patients with COVID-19 in Sudan. In 2021 International Congress of Advanced Technology and Engineering (ICOTEN) https://doi.org/10.1109/icoten52080.2021.9493517

@inproceedings{0ae5bf8b372a4c44955a01a7766289ea,

title = "An Ensemble Machine Learning Model to Investigate the Screening System for Identification of Potential Patients with COVID-19 in Sudan",

author = "Fakhreldeen Saeed and Adam, {Ali A.} and Elhag, {Nihad A. A.} and Saeed, {Fakhreldeen Abbas} and Mohamed Yagob and Fayha Mohamed and N. Eassa and Abdalaziz, {Hanaa S.} and Ahmed, {M. A.} and Babiker, {Sharief F.}",

year = "2021",

month = jul,

day = "4",

doi = "10.1109/icoten52080.2021.9493517",

language = "English",

booktitle = "2021 International Congress of Advanced Technology and Engineering (ICOTEN)",

}

Saeed, F, Adam, AA, Elhag, NAA, Saeed, FA, Yagob, M, Mohamed, F, Eassa, N, Abdalaziz, HS, Ahmed, MA & Babiker, SF 2021, An Ensemble Machine Learning Model to Investigate the Screening System for Identification of Potential Patients with COVID-19 in Sudan. in 2021 International Congress of Advanced Technology and Engineering (ICOTEN). https://doi.org/10.1109/icoten52080.2021.9493517

An Ensemble Machine Learning Model to Investigate the Screening System for Identification of Potential Patients with COVID-19 in Sudan. / Saeed, Fakhreldeen; Adam, Ali A.; Elhag, Nihad A. A. et al.
2021 International Congress of Advanced Technology and Engineering (ICOTEN). 2021.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An Ensemble Machine Learning Model to Investigate the Screening System for Identification of Potential Patients with COVID-19 in Sudan

AU - Saeed, Fakhreldeen

AU - Adam, Ali A.

AU - Elhag, Nihad A. A.

AU - Saeed, Fakhreldeen Abbas

AU - Yagob, Mohamed

AU - Mohamed, Fayha

AU - Eassa, N.

AU - Abdalaziz, Hanaa S.

AU - Ahmed, M. A.

AU - Babiker, Sharief F.

PY - 2021/7/4

Y1 - 2021/7/4

UR - http://dx.doi.org/10.1109/icoten52080.2021.9493517

U2 - 10.1109/icoten52080.2021.9493517

DO - 10.1109/icoten52080.2021.9493517

M3 - Conference contribution

BT - 2021 International Congress of Advanced Technology and Engineering (ICOTEN)

ER -

An Ensemble Machine Learning Model to Investigate the Screening System for Identification of Potential Patients with COVID-19 in Sudan

Access to Document

Other files and links

Cite this