Data visualization using machine learning for efficient tracking of pandemic - COVID-19

Supriya Khaitan, P. Shukla, Anamika Mitra, T. Poongodi, Rashi Agarwal
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引用次数: 1

Abstract

From the first case in December 2019 to more than 2.92 million cases in just 3 months, COVID-19 became a pandemic. COVID-19 is spreading all around the world, and due to this pandemic situation, humans’ life is at risk. On one side, healthcare and sanitization workers are stretching themselves to deal with this situation at the frontline, and on the other, data scientists and machine learning (ML) experts are researching to provide data in an understandable form to the world. This chapter provides the details of different ways of processing and visualizing the huge amount data generated on this pandemic. This includes the clusters on the basis of symptoms in different age groups, effects of COVID-19 on different countries, etc. © The Institution of Engineering and Technology 2021.
利用机器学习实现数据可视化,有效跟踪大流行- COVID-19
从2019年12月的第一例病例到短短3个月内的超过292万例,COVID-19成为了一场大流行。新冠肺炎疫情正在全球蔓延,人类生命受到威胁。一方面,医疗保健和卫生工作者正在努力应对一线的这种情况,另一方面,数据科学家和机器学习(ML)专家正在研究如何以可理解的形式向世界提供数据。本章详细介绍了处理和可视化此次大流行产生的大量数据的不同方法。这包括基于不同年龄组症状的聚类、COVID-19对不同国家的影响等。©the Institution of Engineering and Technology 2021。
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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