Analysis of COVID-19 Data Using Machine Learning Techniques-Reference-Cited by-同舟云学术

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Analysis of COVID-19 Data Using Machine Learning Techniques

Published:2021 Issue: Volume: Page:595-603
ISSN:2367-4512
Container-title:Data Analytics and Management
language:
Short-container-title:

Author:

Agrawal Rashmi,Gupta Neha^ORCID

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-8335-3_45

Reference13 articles.

1. Zumla A, Hui DS, Azhar EI, Memish ZA, Maeurer M (2020) Reducing mortality from 2019-nCoV: host-directed therapies should be an option. Lancet 395(10224):e35–e36. https://doi.org/10.1016/S0140-6736(20)30305-6.9-4393-y

2. Huang C, Wang Y, Li X et al (2020) Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. https://doi.org/10.1016/S0140-6736(20)30183-5

3. Guan W, Ni Z, Hu Y et al (2020) Clinical characteristics of coronavirus disease 2019 in China. New Engl J Med. https://doi.org/10.1056/NEJMoa2002032

4. Shao Y, Wu J (2020) IDM editorial statement on the 2019-nCoV. Infect Dis Model 5:233–234

5. Anno S, Hara T, Kai H, Lee MA, Chang Y, Oyoshi K, Mizukami Y, Tadono T (2019) Spatiotemporal dengue fever hotspots associated with climatic factors in taiwan including outbreak predictions based on machine-learning. Geospatial Health 14:183–194. https://doi.org/10.4081/gh.2019.771

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