An Influential Remedy in Controlling of COVID-19 based on Predictive Models of Machine Learning: A Novel Spec

Abstract

Coronavirus (COVID-19) is a highly potent virus that infects healthy living cells. COVID-19 the virus, makes copies in the organs of the body that replicate itself, leading to the death of some healthy people’s cells and as a result, weakening the immune system. In the soft tissue, it greatly affects the respiratory tract and leads to pneumonia, organ failure, and death, reaching its final stages. This paper focuses on the early detection of COVID-19 patients based on the good symptoms of the disease. In this paper, the COVID-19 Remedies (CURE) program is proposed on a machine-based basis, reading speculation models for the treatment of COVID-19 patients. With test results, performance analysis of The CURE system is being tested in a Python environment that is tested using the Kaggle database of Johns Hopkins University.