South Asian Countries Are Less Fatal Concerning COVID-19: A Hybrid Approach Using Machine Learning and M-AHP-Reference-Cited by-同舟云学术

South Asian Countries Are Less Fatal Concerning COVID-19: A Hybrid Approach Using Machine Learning and M-AHP

Published:2021 Issue: Volume: Page:1-26
ISSN:2522-8595
Container-title:EAI/Springer Innovations in Communication and Computing
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Author:

Guhathakurata Soham,Saha Sayak,Kundu Souvik,Chakraborty Arpita,Banerjee Jyoti Sekhar

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-68936-0_1

Reference57 articles.

1. WHO-China Joint Mission, Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19). (2020). https://www.who.int/docs/default-source/coronaviruse/who-china-joint-mission-on-covid-19-final-report.pdf. Accessed May 1, 2020.

2. https://en.wikipedia.org/wiki/Covid-19. accessed May 1, 2020.

3. https://theprint.in/health/why-south-asia-has-20-of-worlds-population-but-less-than-2-of-covid-19-cases/408471/. Accessed May 2, 2020.

4. Zhao, Y., Karypis, G., & Fayyad, U. (2005). Hierarchical clustering algorithms for document datasets. Data Mining and Knowledge Discovery, 10(2), 141–168.

5. Bar-Joseph, Z., Gifford, D. K., & Jaakkola, T. S. (2001). Fast optimal leaf ordering for hierarchical clustering. Bioinformatics, 17(suppl_1), S22–S29.

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