A REVIEW OF COVID RISK ESTIMATION
Abstract & Details
Research Area
Computer Science Engineering
Keywords
Handling missing values
Eliminating redundant useless
Data elements
Machine learning algorithms
Predict the medical condition
Abstract
The COVID-19 pandemic, also known as the called the Covid pandemic, is a continuous worldwide pandemic of Covid sickness 2019 (COVID-19), which is brought about by extreme intense respiratory condition Covid 2 (SARS-CoV-2). The infection was first distinguished in December 2019 in Wuhan, China. The World Health Organization pronounced a Public Health Emergency of International Concern on 30 January 2020 and later announced a pandemic on 11 March 2020. Starting on 23 June 2021, in excess of 179 million cases have been affirmed, with more than 3.88 million affirmed passing ascribed to COVID-19, making it probably the deadliest pandemic ever.
The proposed system includes a set of algorithms for pre-processing the data to extract new features, handling missing values, eliminating redundant and useless data elements, and selecting the most informative features. After pre-processing the data, we use machine learning algorithms to develop a predictive model to classify the data, predict the medical condition, and calculate the probability and risk of mortality..
License
This work is licensed under a Creative
Commons
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Akansha Chokse | Jai Narain College of Technology, Bhopal, India |
| 2 | Nikhil Patearia | Jai Narain College of Technology, Bhopal, India |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Chokse, Akansha & Patearia, Nikhil (2021). A REVIEW OF COVID RISK ESTIMATION. International Journal of Advance Research and Innovative Ideas In Education, 7(6), 1012-1017.
MLA Style
Chokse, Akansha, and Nikhil Patearia. "A REVIEW OF COVID RISK ESTIMATION." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 6, 2021, pp. 1012-1017.
IEEE Style
Akansha Chokse and Nikhil Patearia, "A REVIEW OF COVID RISK ESTIMATION," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 6, pp. 1012-1017, 2021.
Vancouver Style
Chokse Akansha, Patearia Nikhil. A REVIEW OF COVID RISK ESTIMATION. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(6):1012-1017.
Harvard Style
Chokse, Akansha & Patearia, Nikhil (2021) 'A REVIEW OF COVID RISK ESTIMATION', International Journal of Advance Research and Innovative Ideas In Education, 7(6), pp. 1012-1017.
Chicago Style
Chokse, Akansha and Nikhil Patearia. "A REVIEW OF COVID RISK ESTIMATION." International Journal of Advance Research and Innovative Ideas In Education 7, no. 6 (2021): 1012-1017.
Turabian Style
Chokse, Akansha and Nikhil Patearia. "A REVIEW OF COVID RISK ESTIMATION." International Journal of Advance Research and Innovative Ideas In Education 7, no. 6 (2021): 1012-1017.
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