Machine Learning-Based Approaches for Detection of COVID-19

The impact of technological progress extends across various facets of life, whether it pertains to the realm of medicine or any other domain. Artificial intelligence has displayed significant potential in the healthcare sector, where it leverages data analysis and processing to make informed decisions. In the context of safeguarding against the transmission and progression of life-threatening diseases, early diagnosis stands as a critical imperative. COVID-19, being a highly contagious ailment, has evolved into a global pandemic necessitating urgent attention. Given its swift propagation, there arises a pressing demand for a system capable of detecting the virus promptly. With the growing reliance on technology, a wealth of COVID-19 data is readily accessible, offering invaluable in-sights into the virus. In this research endeavor, we evaluated the predictive accuracy of various algorithms for coronavirus prognosis and employed almost all necessary algorithm in our end model assessment.