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QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model.
Rahman, Tawsifur; Khandakar, Amith; Abir, Farhan Fuad; Faisal, Md Ahasan Atick; Hossain, Md Shafayet; Podder, Kanchon Kanti; Abbas, Tariq O; Alam, Mohammed Fasihul; Kashem, Saad Bin; Islam, Mohammad Tariqul; Zughaier, Susu M; Chowdhury, Muhammad E H.
Afiliação
  • Rahman T; Department of Electrical Engineering, Qatar University, Doha, 2713, Qatar.
  • Khandakar A; Department of Electrical Engineering, Qatar University, Doha, 2713, Qatar.
  • Abir FF; Department of Electrical and Electronics Engineering, University of Dhaka, Dhaka, 1000, Bangladesh.
  • Faisal MAA; Department of Electrical and Electronics Engineering, University of Dhaka, Dhaka, 1000, Bangladesh.
  • Hossain MS; Dept. of Electrical, Electronics and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi, Selangor, 43600, Malaysia.
  • Podder KK; Department of Biomedical Physics & Technology, University of Dhaka, Dhaka, 1000, Bangladesh.
  • Abbas TO; Urology Division, Surgery Department, Sidra Medicine, Doha, 26999, Qatar.
  • Alam MF; Department of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, 2713, Qatar.
  • Kashem SB; Department of Computing Science, AFG College with the University of Aberdeen, Doha, Qatar.
  • Islam MT; Dept. of Electrical, Electronics and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi, Selangor, 43600, Malaysia.
  • Zughaier SM; Department of Basic Medical Sciences, College of Medicine, QU Health, Qatar University, Doha, 2713, Qatar.
  • Chowdhury MEH; Department of Electrical Engineering, Qatar University, Doha, 2713, Qatar. Electronic address: mchowdhury@qu.edu.qa.
Comput Biol Med ; 143: 105284, 2022 Apr.
Article em En | MEDLINE | ID: mdl-35180500
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Comput Biol Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Qatar País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Comput Biol Med Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Qatar País de publicação: Estados Unidos