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Convalescent-plasma-transfusion intelligent framework for rescuing COVID-19 patients across centralised/decentralised telemedicine hospitals based on AHP-group TOPSIS and matching component.
Mohammed, Thura J; Albahri, A S; Zaidan, A A; Albahri, O S; Al-Obaidi, Jameel R; Zaidan, B B; Larbani, Moussa; Mohammed, R T; Hadi, Suha M.
Afiliação
  • Mohammed TJ; Department of Computing, Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan Sultan Idris, 35900 Tanjung Malim, Malaysia.
  • Albahri AS; Informatics Institute for Postgraduate Studies (IIPS), Iraqi Commission for Computers and Informatics (ICCI), Baghdad, Iraq.
  • Zaidan AA; Informatics Institute for Postgraduate Studies (IIPS), Iraqi Commission for Computers and Informatics (ICCI), Baghdad, Iraq.
  • Albahri OS; Department of Computing, Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan Sultan Idris, 35900 Tanjung Malim, Malaysia.
  • Al-Obaidi JR; Department of Computing, Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan Sultan Idris, 35900 Tanjung Malim, Malaysia.
  • Zaidan BB; Department of Biology, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak Malaysia.
  • Larbani M; Department of Computing, Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan Sultan Idris, 35900 Tanjung Malim, Malaysia.
  • Mohammed RT; School of Mathematics and Statistics, Carleton University, Ottawa, ON Canada.
  • Hadi SM; Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Seri Kembangan, Malaysia.
Appl Intell (Dordr) ; 51(5): 2956-2987, 2021.
Article em En | MEDLINE | ID: mdl-34764579
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Appl Intell (Dordr) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Malásia
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Appl Intell (Dordr) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Malásia