COVID-19 PREDICTION USING MACHINE LEARNING

Abstract

The COVID-19 pandemic has necessitated the development of new virus-control measures, and machine learning (ML) has promise in this area.Our research will investigate into the most current machine learning algorithms used for COVID-19 prediction, with a special emphasis on their potential to optimize decisionmaking and resource distribution during peak pandemic periods.Our review is distinct in that it focuses entirely on machine learning techniques for disease prediction.According to our systematic evaluation of the literature, ML-powered solutions can reduce the strain on healthcare systems.These systems can assess large volumes of health information in order to improve prediction and preventative treatment.