Machine Learning Approach to Predicting COVID-19 Disease Severity Based on Clinical Blood Test Data: Statistical Analysis and Model Development

Sakifa Aktar   ^{1 *} , BSc ;   Md Martuza Ahamad   ^{1 *} , MSc ;   Md Rashed-Al-Mahfuz   ² , MSc ;   AKM Azad   ³ , PhD ;   Shahadat Uddin   ⁴ , PhD ;   AHM Kamal   ⁵ , PhD ;   Salem A Alyami   ⁶ , PhD ;   Ping-I Lin   ⁷ , PhD ;   Sheikh Mohammed Shariful Islam   ⁸ , PhD ;   Julian MW Quinn   ⁹ , PhD ;   Valsamma Eapen   ⁷ , PhD ;   Mohammad Ali Moni   ^{7, 9, 10} , PhD

¹ Department of Computer Science and Engineering, Bangabandhu Sheikh Mujibur Rahman Science & Technology University, Gopalganj, Bangladesh

² Department of Computer Science and Engineering, University of Rajshahi, Rajshahi, Bangladesh

³ iThree Institute, Faculty of Science, University Technology of Sydney, Sydney, Australia

⁴ Complex Systems Research Group, Faculty of Engineering, The University of Sydney, Darlington, Sydney, Australia

⁵ Department of Computer Science and Engineering, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh, Bangladesh

⁶ Department of Mathematics and Statistics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia

⁷ School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia

⁸ Institute for Physical Activity and Nutrition, Faculty of Health, Deakin University, Victoria, Australia

⁹ Healthy Ageing Theme, The Garvan Institute of Medical Research, Darlington, Australia

¹⁰ WHO Collaborating Centre on eHealth, UNSW Digital Health, School of Public Health and Community Medicine, Faculty of Medicine, University of New South Wales, Sydney, Australia

*these authors contributed equally