Detection-based prioritisation: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy-TOPSIS methods.

Albahri, A S; Hamid, Rula A; Albahri, O S; Zaidan, A A

Albahri, A S; Hamid, Rula A; Albahri, O S; Zaidan, A A.

Affiliation

Albahri AS; Informatics Institute for Postgraduate Studies (IIPS), Iraqi Commission for Computers and Informatics (ICCI), Baghdad, Iraq. Electronic address: ahmed.bahri1978@iips.icci.edu.iq.
Hamid RA; College of Business Informatics, University of Information Technology and Communications (UOITC), Baghdad, Iraq. Electronic address: eng_rula_amjed@uoitc.edu.iq.
Albahri OS; Department of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia. Electronic address: osamah@fskik.upsi.edu.my.
Zaidan AA; Department of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia. Electronic address: aws.alaa@fskik.upsi.edu.my.

Artif Intell Med ; 111: 101983, 2021 01.

Article in En | MEDLINE | ID: mdl-33461683

Subject(s)
Key words

COVID-19; Entropy; Laboratory characteristics; Multi-criteria decision making; Prioritisation; Respiratory; TOPSIS

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carrier State / Decision Support Techniques / Diagnostic Techniques and Procedures / COVID-19 Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Artif Intell Med Journal subject: INFORMATICA MEDICA Year: 2021 Document type: Article Country of publication: Países Bajos

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