Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions

Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions

Abstract When COVID-19 spread in China in December 2019, thousands of studies have focused on this pandemic. Each presents a unique perspective that reflects the pandemic’s main scientific disciplines. For example, social scientists are concerned with reducing the psychological impact on the human m...

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Bibliographic Details
Main Authors: A. H. Alamoodi, B. B. Zaidan, O. S. Albahri, Salem Garfan, Ibraheem Y. Y. Ahmaro, R. T. Mohammed, A. A. Zaidan, Amelia Ritahani Ismail, A. S. Albahri, Fayiz Momani, Mohammed S. Al-Samarraay, Ali Najm Jasim, R.Q.Malik
Format: Article
Language:English
Published: Springer 2023-02-01
Series:Complex & Intelligent Systems
Subjects:
COVID-19
Data privacy
Federated learning
Monoclonal antibodies
Multi-criterion decision making
Treatment
Online Access:https://doi.org/10.1007/s40747-023-00972-1

Internet

https://doi.org/10.1007/s40747-023-00972-1

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