Convalescent-plasma-transfusion intelligent framework for rescuing COVID-19 patients across centralised/decentralised telemedicine hospitals based on AHP-group TOPSIS and matching component-Reference-Cited by-同舟云学术

Convalescent-plasma-transfusion intelligent framework for rescuing COVID-19 patients across centralised/decentralised telemedicine hospitals based on AHP-group TOPSIS and matching component

Published:2021-01-22 Issue:5 Volume:51 Page:2956-2987
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

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.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-020-02169-2.pdf

Reference97 articles.

1. Albahri O et al (2020) Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects. J Infect Pub Health 13(10):1381–1396

2. Albahri A et al (2020) Multi-Biological Laboratory Examination Framework for the Prioritization of Patients with COVID-19 Based on Integrated AHP and Group VIKOR Methods. Int J Inf Technol Decis Mak 19(05):1247–1269

3. Albahri A, Hamid RA (2020) Role of biological data mining and machine learning techniques in detecting and diagnosing the novel coronavirus (COVID-19): A systematic review. J Med Syst 44(7):122

4. W. H. Organization (2020) Coronavirus disease 2019 (COVID-19): situation report, 82

5. Catelli R, Gargiulo F, Casola V, De Pietro G, Fujita H, Esposito M (2020) Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set. Appl Soft Comput 97:106779

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