Outbreak Prediction of COVID-19 for Dense and Populated Countries Using Machine Learning-Reference-Cited by-同舟云学术

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Outbreak Prediction of COVID-19 for Dense and Populated Countries Using Machine Learning

Published:2020-10-16 Issue:1 Volume:8 Page:1-19
ISSN:2198-5804
Container-title:Annals of Data Science
language:en
Short-container-title:Ann. Data. Sci.

Author:

Khakharia Aman,Shah Vruddhi,Jain Sankalp,Shah Jash,Tiwari Amanshu,Daphal Prathamesh,Warang Mahesh,Mehendale Ninad

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Statistics, Probability and Uncertainty,Computer Science Applications,Business, Management and Accounting (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s40745-020-00314-9.pdf

Reference21 articles.

1. Liu Y, Gu Z, Xia S, Shi B, Zhou XN, Shi Y, Liu J (2020) What are the underlying transmission patterns of COVID-19 outbreak?—an age-specific social contact characterization. EClinicalMedicine 22:100354

2. Temesgen A, Gurmesa A, Getchew Y (2018) Joint modeling of longitudinal cd4 count and time-to-death of hiv/tb co-infected patients: a case of Jimma university specialized hospital. Ann Data Sci 5(4):659

3. Olson DL, Shi Y, Shi Y (2007) Introduction to business data mining, vol 10. McGraw-Hill/Irwin, Englewood Cliffs

4. Li J, Guo K, Viedma EH, Lee H, Liu J, Zhong N, Gomes LFAM, Filip FG, Fang SC, Özdemir MS et al (2020) Culture vs policy: more global collaboration to effectively combat COVID-19. Innovation 1(2):100023

5. Shi Y, Tian Y, Kou G, Peng Y, Li J (2011) Optimization based data mining: theory and applications. Springer, Berlin

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