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  • [\'Department of Electronic and Electrical Engineering, University of Sheffield, UK. Electronic address: h.khadem@sheffield.ac.uk.\', \'Department of Electronic and Electrical Engineering, University of Sheffield, UK. Electronic address: hoda.nemat@sheffield.ac.uk.\', \'Department of Electronic and Electrical Engineering, University of Sheffield, UK. Electronic address: m.eissa@sheffield.ac.uk.\', \'Department of Oncology and Metabolism, University of Sheffield, UK. Electronic address: j.elliott@sheffield.ac.uk.\', \'Department of Electronic and Electrical Engineering, University of Sheffield, UK. Electronic address: m.benaissa@sheffield.ac.uk.\']
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  • S0010-4825(22)00153-610.1016/j.compbiomed.2022.105361
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  • Computers in biology and medicine
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  • COVID-19 mortality risk assessments for individuals with and without diabetes mellitus: Machine learning models integrated with interpretation framework.
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  • 2022

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