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COVID-19 : Detailed Analytics & Predictive Modelling using Deep Learning
- Source :
- International Journal of Scientific Research in Computer Science, Engineering and Information Technology. :95-104
- Publication Year :
- 2020
- Publisher :
- Technoscience Academy, 2020.
-
Abstract
- The rise of COVID-19 pandemic is alarmingly exponential in nature, and there is no certain predictability in the patterns of its future growth. This research aims at providing suitable insights into the current spread of the novel coronavirus (COVID 19) and conveys detailed analysis into current statistical growth rates of the infection frequency for diverse cases. We also provide schematic visualizations contrast and compare trends between various countries and India. We inspect closely and differentiate between the curves for the mortality rates globally. Also projected categorically most affected states of India.Finally, this research proposes methodologies for design and implementation of deep learning models for the predictive modelling of the various cases around the world and delivers predictions till March 2021 for confirmed and death cases.
- Subjects :
- Coronavirus disease 2019 (COVID-19)
business.industry
Computer science
Deep learning
Machine learning
computer.software_genre
01 natural sciences
010305 fluids & plasmas
Exponential growth
Analytics
0103 physical sciences
Artificial intelligence
business
010301 acoustics
computer
Predictive modelling
Subjects
Details
- ISSN :
- 24563307
- Database :
- OpenAIRE
- Journal :
- International Journal of Scientific Research in Computer Science, Engineering and Information Technology
- Accession number :
- edsair.doi...........817a81504c35b8628ead13ad7b20578d
- Full Text :
- https://doi.org/10.32628/ijsrst207517