COVID-19 not only kills millions of people but also has a negative impact on the global economy due to the lockdown that occurs as a result of its widespread spread. Coronavirus spreads from person to person via contact. As a result, the government mandated 6 feet of social distancing. In this review, we look at the various models that use Machine Learning to predict in-hospital mortality in COVID-19 positive patients. Age, gender, smoking, and chronic disease are all factors that influence the severity of COVID-19. Machine Learning models have the ability to predict death and severity before 10 days of a high risk of death. It was discovered that the majority of models use unbalanced data, which may have an impact on model accuracy.
₹10000 (INR)
NON IEEE -2022