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International Journal of Aquatic Science ; 12(2):2062-2067, 2021.
Article in English | CAB Abstracts | ID: covidwho-1326533

ABSTRACT

Considering the identical signs of both covid-19 and influenza, most individuals are unable to distinguish between the two, which can result in a person's death. To control the death rate, several approaches are needed to categories the signs of covid-19 and other diseases. Severe sickness is more likely to hit the elderly and individuals with underlying medical conditions and diseases lung diseases and cancer. In the context of the present outbreak, identification of these diseases is limited to a few clinical studies like RT-PCR and CT-Scan of lung pictures to detect the covid-19. We will develop a method to solve the present issues experienced by people in the outbreak condition, as these examinations take a long time and are highly expensive. Researchers discovered that image processing, data mining, artificial intelligence, and pattern recognition are widely utilized approaches for solving these problems after doing a research study.

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