Efficient Machine Learning Model For Covid-19 Spread Prediction

ABSTRACT

Machine learning models have shown great performance in prediction and detection of many diseases such as cancer, heart attack, liver infection, and kidney infection. COVID-19 emerged as one of the deadly disease. Its cases grownin unpredictable manner. Regression is the mathematical technique in machine learning that can used to find relation between outcome variable with independent variable. In the present manuscript, regression has been used to predict COVID-19 growth. It has been found that the model is highly accurate in the COVID case prediction. © 2023 IEEE.