Analysis And Prediction of COVID-19 Based on Machine Learning
DOI:
https://doi.org/10.54097/hset.v38i.5937Keywords:
description, Outlier handling, Missing value handling, Evaluation index calculation.Abstract
Artificial intelligence (AI) technology is in high demand today for wireless infrastructure integration, real-time data collecting, and end-user device processing. The most innovative answer at hand right now is the use of AI to recognize and forecast widespread epidemics. The pandemic, which started with COVID-19, has had a terrible impact on world society and placed a significant load on the most developed healthcare systems globally. According to the European Centre for Disease Prevention and Control (ECDC), as of May 11, 2020, there had been 282,244 fatalities and more than 4,063,525 confirmed cases. However, given the current exponential and rapid development in the number of patients, it is essential to make use of AI technology to quickly and accurately estimate the prognosis of infected individuals.
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