Prediction of the evolution of corona-virus using Machine Learning Technique

Tokpe Kossi, Subrata Sahana
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Abstract

The whole world has seen a change in habits in the past two years due to the discovery of the new corona family virus. The new corona virus is classified by The World Health Organization as Covid-19. Everywhere on the planet we are witnessing confirmed decision-making, curfew, restrictions on people, vaccinations, wearing of masks, etc. This paper aims to show how advancement of Machine Learning have provided excellent tools capable of reducing the number of infections while helping medicine in making decisions about testing infected people, reliability, accuracy of tests. We have improved the existing algorithms to produce software that can be able to do the prediction of evolution of corona virus. The implementation is done through Python language. We ensure that the results produced will be reliable and with fewer errors.
利用机器学习技术预测冠状病毒的进化
由于新型冠状病毒的发现,过去两年全世界的习惯发生了变化。世界卫生组织将这种新型冠状病毒归类为Covid-19。在地球上的任何地方,我们都看到了确认的决策、宵禁、对人员的限制、接种疫苗、戴口罩等。本文旨在展示机器学习的进步如何提供能够减少感染数量的优秀工具,同时帮助医学做出有关检测感染者、测试可靠性和准确性的决策。我们改进了现有的算法,制作出能够预测冠状病毒进化的软件。通过Python语言实现。我们确保产生的结果是可靠的,错误更少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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