An Analytical Survey on predicting Covid-19 using Deep Learning
Abstract & Details
Research Area
Computer Engineering
Keywords
Pearson Correlation
Convolutional Neural Networks
Long Short Term Memory
Decision Tree
Abstract
Epidemics are extremely difficult and problematic circumstances because of the amount of stress that everyone experiences throughout these periods. The most concerning aspect for healthcare personnel and individuals is the uncertainty of the future. There was a paucity of tools that could be used to successfully anticipate the infection rate in the future during the current covid-19 infection outbreak. This has resulted in increasing ambiguity, which may be extremely difficult for medical professionals and governments in terms of planning. An effective predictive technique is required for this purpose in order to provide reliable estimates of future infection rates. This study paper arrived at an effective technique by analyzing previous studies on this issue, which have been described in this article. Our methodology will be expanded on in future versions of this research.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Vishal Shinde | KJCOEMR,Pune |
| 2 | Nagaraju Bogiri | KJCOEMR,Pune |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Shinde, Vishal & Bogiri, Nagaraju (2022). An Analytical Survey on predicting Covid-19 using Deep Learning. International Journal of Advance Research and Innovative Ideas In Education, 8(4), 1011-1014.
MLA Style
Shinde, Vishal, and Nagaraju Bogiri. "An Analytical Survey on predicting Covid-19 using Deep Learning." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 4, 2022, pp. 1011-1014.
IEEE Style
Vishal Shinde and Nagaraju Bogiri, "An Analytical Survey on predicting Covid-19 using Deep Learning," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 4, pp. 1011-1014, 2022.
Vancouver Style
Shinde Vishal, Bogiri Nagaraju. An Analytical Survey on predicting Covid-19 using Deep Learning. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(4):1011-1014.
Harvard Style
Shinde, Vishal & Bogiri, Nagaraju (2022) 'An Analytical Survey on predicting Covid-19 using Deep Learning', International Journal of Advance Research and Innovative Ideas In Education, 8(4), pp. 1011-1014.
Chicago Style
Shinde, Vishal and Nagaraju Bogiri. "An Analytical Survey on predicting Covid-19 using Deep Learning." International Journal of Advance Research and Innovative Ideas In Education 8, no. 4 (2022): 1011-1014.
Turabian Style
Shinde, Vishal and Nagaraju Bogiri. "An Analytical Survey on predicting Covid-19 using Deep Learning." International Journal of Advance Research and Innovative Ideas In Education 8, no. 4 (2022): 1011-1014.
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