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Predicting the COVID-19 infection with fourteen clinical features using machine learning classification algorithms |
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| Authors: | Arpaci Ibrahim Huang Shigao Al-Emran Mostafa Al-Kabi Mohammed N. Peng Minfei |
| Affiliation: | 1.Department of Computer Education and Instructional Technology, Tokat Gaziosmanpasa University, Tokat, Turkey ;2.Cancer Centre, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Taipa, Macao SAR, China ;3.Faculty of Engineering & IT, The British University in Dubai, Dubai, UAE ;4.Department of Information Technology, Al Buraimi University College, Al Buraimi, Oman ;5.Zhejiang Taizhou Hospital, Wenzhou Medical University, Taizhou, China ; |
| Abstract: | Multimedia Tools and Applications - While the RT-PCR is the silver bullet test for confirming the COVID-19 infection, it is limited by the lack of reagents, time-consuming, and the need for... |
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