| Title |
Analysis of Various COVID-19 Prediction Techniques |
| Authors |
(Rakesh Kumar Arora) ; (Manoj Kumar Gupta) ; (Bhoopesh Singh Bhati) |
| DOI |
https://doi.org/10.5573/IEIESPC.2021.10.4.323 |
| Keywords |
COVID-19; Machine learning; Prediction; Epidemic prediction; Survey |
| Abstract |
There is no precise treatment available for COVID-19, but treatment of a number of signs/symptoms is possible. This treatment is provided in accordance with the clinical position of the patient. Furthermore, supplementary care is proven as efficient for infected people. COVID-19 prediction techniques follow various steps, which include dataset collection, pre-processing, feature extraction, and classification. Numerous COVID-19 prediction techniques have been proposed in the literature. In this paper, various techniques are systematically reviewed on the basis outcomes, advantages, and disadvantages. |