Titlebook: Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach; Aboul-Ella Hassanien,Nilanjan Dey,Sally E

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https://doi.org/10.34157/978-3-648-15833-3) too, who were suspected of symptoms of the coronavirus. Thereby, after the isolation and quarantine period, 3 patients among all were discharged upon recovery. Therefore, in this way, this study has to focus and trying to visualize the impact of isolation and quarantine on the health of the patien

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,Bestimmungsgründe für Technik-Akzeptanz,pe, but presently it is in Virus graph-II type. Given different aspects for expansion of pandemic, this chapter presents growth types of virus graphs and their variation as 1-1, 1-P, and 1-all growth types. This chapter provide the number of infected people after ‘n’ number of days concerning differ

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https://doi.org/10.1007/978-3-662-56155-3on). In the last few months, several research papers have been published with AI applications against COVID-19. In this chapter, we performed a meta-analysis of the current state-of-the-art of AI against COVID-19 by using various publication repositories (PubMed, PubMed Central, Scopus, Google Schol

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,Interview Rüdiger von Nitzsch,is the date of infestation and a dependent variable which is the number of patients, and the available data is being used to predict the future value of infected COVID-19 outbreak in a similar environment.

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Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach

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