Predictive analysis and survey of COVID-19 using machine learning and big data-Reference-Cited by-同舟云学术

Predictive analysis and survey of COVID-19 using machine learning and big data

Published:2021-01-02 Issue:1 Volume:24 Page:175-195
ISSN:0972-0502
Container-title:Journal of Interdisciplinary Mathematics
language:en
Short-container-title:Journal of Interdisciplinary Mathematics

Author:

Sharma Shruti¹,Gupta Yogesh Kumar¹

Affiliation:

1. Department of Computer Science, Banasthali Vidypith Jaipur, Vanasthali 304022, Rajasthan India

Publisher

Informa UK Limited

Subject

Applied Mathematics,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/09720502.2020.1833445

Reference26 articles.

1. Hu Zixin, Ge Qiyang, Li Shudi, Boerwincle Eric Boerwincle, Jin Li and Xiong Momiao. (2020). Forecasting and Evaluating Intervention of COVID-19 in the World. PreprintsarXiv: 2003.09800.

2. Anis Koubaa. (2020). Understanding the COVID 19 Outbreak: A Comparative Data Analytics & Study. Preprints arXiv: 2003.14150.

3. Pandey Gaurav, Chaudhary Poonam, Gupta Rajan, Pal Saibal. (2020). SEIR & Regression Model Based COVID 19 outbreak predictions in India. Preprints arXiv: 2004.00958.

4. Pal Ratnabali, Sekh Arif Ahmed, Kar Samarjit, Prasad Dilip. (2020). Neural Network Based Country Wise Risk Prediction of COVID 19. Preprints arXiv: 2004.00959.

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