Fusion of intelligent learning for COVID-19: A state-of-the-art review and analysis on real medical data

Author:

Ding WeipingORCID,Nayak Janmenjoy,Swapnarekha H.,Abraham Ajith,Naik Bighnaraj,Pelusi Danilo

Funder

Natural Science Foundation of Jiangsu Province

Qinglan Project of Jiangsu Province of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference211 articles.

1. Clinical features of patients infected with 2019 novel coronavirus in Wuhan China;Huang;Lancet,2020

2. Lai, Chih-Cheng, et al. “Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and corona virus disease-2019 (COVID-19): the epidemic and the challenges.” International journal of antimicrobial agents (2020): 105924.

3. World Health Organization. Laboratory testing for coronavirus disease 2019 (COVID-19) in suspected human cases: interim guidance, 2 March 2020. No. WHO/COVID-19/laboratory/2020.4. World Health Organization, 2020.

4. Industry 4.0 technologies and their applications in fighting COVID-19 pandemic;Javaid;Diabet. Metab. Syndrome Clin. Res. Rev.,2020

5. Limiting the spread of COVID-19 in Africa: one size mitigation strategies do not fit all countries;Mehtar;Lancet Global Health,2020

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