It is critical for physicians to correctly classify patients during a plague and determine who deserves minimal health assistance. Machine learning methods have been presented reliably forecast the severity of COVID-19 disease. Previous research has often tested different machine algorithms evaluated performance under methods. may be necessary try several combinations discover optimal predictio...

Artificial neural network is considered one of the most efficient methods in processing huge data sets that can be analyzed computationally to reveal patterns, trends, prediction, forecasting etc. It has a great prospective in engineering as well as in medical applications. The present work employs artificial neural network-based curve fitting techniques in prediction and forecasting of the Cov...