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Review of Classifiers Used for Novel Corona Virus Foot-Print Detection

机译:审查用于新型电晕病毒脚印检测的分类器

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Development in the field of Machine Learning and Artificial Intelligence are greatly simplifying the critical bio-medical engineering applications. The first outbreak of Covid'19 pandemic was observed in Mainland China and soon it spread over to remaining 214 countries. World Health Organization (WHO) came to forefront and named it as Corona Virus Disease 2019. This highly contagious disease causes serious impact due to Severe Acute Respiratory Syndrome (SARS)-COV Virus. In this article, we are about to disclose the detailed literature survey around how Machine Learning and Artificial Intelligence are momentously assisting the biomedical engineering segment to tackle with the situation created due to Covid'19 Pandemic. Subsequently, different classifiers, which are used by the researchers for effective diagnosis of Covid'19 infection, are studied for projecting the research in effective diagnosis of different strains of the Corona Virus.
机译:机器学习领域的发展和人工智能大大简化了关键的生物医学工程应用。 在中国大陆观察到Covid'19大流行的第一次爆发,很快它将遍布剩下的214个国家。 世界卫生组织(谁)来到最前沿,并将其命名为2019年。这种高度传染性疾病导致严重的急性呼吸综合征(SARS)-Cov病毒导致严重影响。 在本文中,我们即将披露关于机器学习和人工智能的详细文献调查,这些调查是如何促使生物医学工程领域的宗旨,以Covid'19大流行因而创造的情况。 随后,研究人员使用的不同分类器进行有效诊断Covid'19感染,用于预测有效诊断Corona病毒的不同菌株的研究。

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