The Role of Machine Learning and Artificial Intelligence in Tackling COVID 19

Abstract

COVID-19, which is caused by SARS-CoV-2 (13), has become a public health crisis of unprecedented scale. In the aftermath of the recent global disaster, scientists, clinicians, and healthcare experts throughout the world are scrambling to find a new technology to tackle the Covid-19 outbreak. After a previous epidemic, researchers are encouraged by the evidence of the application of machine learning (ML) and AI (AI). Extracting information from social media, phone calls, and news websites can be used to create early warning systems that provide useful information about the most vulnerable areas and predict death rates. Using CT-Scans, X-ray imaging, sound analysis, and blood testing with machine learning, this viral disease may be thoroughly detected. COVID-19 vaccines and medicines could be developed using machine learning. Controlling epidemics was also a topic of discussion. T The study examines the relationship between technological advancements and epidemics, as well as the implications for health care that machine learning and natural language processing tools may have.