Towards automated multiclass severity prediction approach for COVID-19 infections based on combinations of clinical data

• 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
• Format: Article
• Language: English
• Published: Hindawi Limited 2022
• 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
• Institution: Universiti Teknikal Malaysia Melaka

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...