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  • [\'Department of Computing, Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan, Tanjung Malim 35900, Malaysia.\', \'Department of Biology, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak 35900, Malaysia.\', \'Department of Computing, Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan, Tanjung Malim 35900, Malaysia. Electronic address: aws.alaa@gmail.com.\', \'Informatics Institute for Postgraduate Studies (IIPS), Iraqi Commission for Computers and Informatics (ICCI), Baghdad, Iraq.\', \'Department of Computer Science, Computer Science and Mathematics College, Tikrit University, Tikrit 34001, Iraq.\', \'Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Seri Kembangan, Malaysia.\', \'Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, Malaysia.\', \'Faculty of Electronic and Electrical Engineering, Universiti Tun Hussein Onn, Batu Pahat, Johor 86400, Malaysia.\']
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  • S0169-2607(20)31450-410.1016/j.cmpb.2020.105617
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  • Computer methods and programs in biomedicine
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  • Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods.
?:type
?:year
  • 2020

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