Data visualization using machine learning for efficient tracking of pandemic - COVID-19
Blockchain and Machine Learning for e-Healthcare Systems
; : 417-441, 2021.
Article
in English
| Scopus | ID: covidwho-1407595
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.
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Blockchain and Machine Learning for e-Healthcare Systems
Year:
2021
Document Type:
Article
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