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Title: :  An Analytical Survey on predicting Covid-19 using Deep Learning
PaperId: :  17810
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 4 2022
DUI:    16.0415/IJARIIE-17810
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Vishal ShindeKJCOEMR,Pune
Nagaraju BogiriKJCOEMR,Pune

Abstract

Computer Engineering
Pearson Correlation, Convolutional Neural Networks, Long Short Term Memory, Decision Tree
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.

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IJARIIE 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 Volume 8 Issue 4 2022 Page 1011-1014
MLA 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 8.4(2022) : 1011-1014.
APA Vishal Shinde, & Nagaraju Bogiri. (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.
Chicago 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 8, no. 4 (2022) : 1011-1014.
Oxford 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, 2022, p. 1011-1014. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/An_Analytical_Survey_on_predicting_Covid_19_using_Deep_Learning_ijariie17810.pdf (Accessed : 22 July 2022).
Harvard Vishal Shinde, and Nagaraju Bogiri. (2022) 'An Analytical Survey on predicting Covid-19 using Deep Learning', International Journal Of Advance Research And Innovative Ideas In Education, 8(4), pp. 1011-1014IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/An_Analytical_Survey_on_predicting_Covid_19_using_Deep_Learning_ijariie17810.pdf (Accessed : 22 July 2022)
IEEE 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, Jul-Aug 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/An_Analytical_Survey_on_predicting_Covid_19_using_Deep_Learning_ijariie17810.pdf [Accessed : 22 July 2022].
Turabian 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 [Online]. volume 8 number 4 (22 July 2022).
Vancouver 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 [Internet]. 2022 [Cited : 22 July 2022]; 8(4) : 1011-1014. Available from: https://ijariie.com/AdminUploadPdf/An_Analytical_Survey_on_predicting_Covid_19_using_Deep_Learning_ijariie17810.pdf
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