Machine Learning Implementations in COVID-19

Abstract

Today COVID-19, a frightful pandemic, has spread worldwide and put the lives of the people in danger. During this global urgency, whole world clinicians, health experts, and scientists search for a new invention or technology to tackle this problem. In this modern age, machine learning, which is a subfield of artificial intelligence, is booming. Across all fields such as information technology, medical, gaming, and automotive industry, machine learning encourages our researchers to work with it and provide a new weapon to fight against the novel Coronavirus breakdown. Up to this point, numerous scientists have utilized this technology, which has fundamentally overhauled processes for treatment, medicine, screening, expectation, estimating, contact following, and medication/antibody improvement for this pandemic, with the base number of human intercessions in clinical practice. Here, we are essentially focusing on the extensive investigations dependent on machine learning models and procedures utilized by the various specialists to handle COVID-19, and examine the exhibition of the different techniques used and their benefits and faults.

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