A Survey on the role of ML and AI in fighting Covid-19

Deepti Malhotra, G. Sodhi
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Abstract

Believed to have been originated Chinese province Wuhan in December 2019, the coronavirus has said to cause 95 million cases with overall death rate of 2% of overall cases (as per Jan 2022). As per today China is still facing the threat of the virus emerging again. This fast-spreading pandemic virus poses a challenge at world level and proposes serious danger to people’s health as well as the economy. With time and regions this virus has undergone several mutations resulting in rise of various other viruses, OMICRON being the latest. The most common and widely faced threat in this disease was in the case of asymptomatic patients, the ones who showed no symptoms and yet were carriers of this deadly virus. In recent times, many researchers have started exploring various methods for predicting the disease using various medical parameters. Few of the commonly used technologies for the same are Machine Learning and Artificial Intelligence. The present paper aims to exhibit the role of these technologies in predicting the virus presence. Various models used by the researchers in the prediction of the corona virus have been compiled and presented in this paper.
ML和AI在抗击新冠肺炎中的作用综述
据信,冠状病毒于2019年12月起源于中国武汉市,据称已导致9500万例病例,总死亡率为总病例的2%(截至2022年1月)。今天,中国仍然面临着病毒再次出现的威胁。这种快速传播的大流行性病毒在世界范围内构成挑战,对人民健康和经济构成严重威胁。随着时间和区域的变化,这种病毒经历了几次突变,导致各种其他病毒的出现,OMICRON是最新的。在这种疾病中,最常见和最广泛面临的威胁是无症状患者,即没有表现出任何症状,但却是这种致命病毒的携带者。近年来,许多研究人员开始探索利用各种医学参数预测疾病的各种方法。很少有常用的技术是机器学习和人工智能。本文旨在展示这些技术在预测病毒存在方面的作用。研究人员在预测冠状病毒中使用的各种模型已经汇编并在本文中提出。
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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