COVID-19 Outbreak Prediction and Analysis of E-Healthcare Data Using Random Forest Algorithms

The forecasting model used random forest algorithm. From the outcomes, it has been found that regression models utilize basic linkage works and are exceptionally solid for forecast of COVID-19 cases in different countries as well India. Current shared worldwide confirmed case predicted by taking world population a comparatives study done on total growth top 10 worst affected including US excluding US. ratio between vs. fatalities is end special India where we have forecasted all age groups then extended our to active, death recovered especially compared situation with other countries.