Towards automated multiclass severity prediction approach for COVID-19 infections based on combinations of clinical data
The recent dramatic expansion of the COVID-19 outbreak is placing enormous strain on human society as a whole. Numerous biomarkers are being investigated in an effort to track the condition of the patient. This could interfere with signs of many other illnesses, making it more difficult for a specialis...
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Main Authors: | Ahmed, M. Dinar, A. Raheem, Enas, Abdulkareem, Karrar Hameed, Abed Mohammed, Mazin, Oleiwie, Marwan Ghazi, Zayr, Fawzi Hasan, Al-Boridi, Omar, Mohammed Al-Andoli, Mohammed Nasser, Ahmed Al-Mhiqani, Mohammed Nasser |
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Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2022
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Online Access: | http://eprints.utem.edu.my/id/eprint/27779/2/0272912082023317.pdf http://eprints.utem.edu.my/id/eprint/27779/ https://onlinelibrary.wiley.com/doi/10.1155/2022/7675925 https://doi.org/10.1155/2022/7675925 |
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