Supervised Machine Learning Approach for the Prediction of COVID-19 Cases

Author:

Biswas Arjun,Samanta Pravin Kumar

Publisher

Springer Singapore

Reference21 articles.

1. Huang, C., Wang, Y., Li, X., et al.: Clinical Features of Patients Infected with 2019 Novel Coronavirus in Wuhan, China. Lancet (2020).https://doi.org/10.1016/S01406736(20)30183-5

2. WHO: Coronavirus Disease (COVID-19) Outbreak Situation [online] (2020). Available https://www.who.int/emergencies/diseases/novelcoronavirus-2019

3. Jenssen, H.B.: China National Health Commission Diagnosis and Treatment of Pneumonitis Caused by New Coronavirus (Trial Version 6). Accessed Sep. 8, 2020 [online]. Available http://www.nhc.gov.cn/yzygj/s7653p/202002/8334a8326dd94d329df351d7da8ae%fc2.shtml

4. Zu, Z.Y., Jiang, M.D., Xu, P.P., Chen, W., Ni, Q.Q., Lu, G.M., Zhang, L.J.: Coronavirus disease 2019 (COVID-19): a perspective from china. Radiology (2020). https://doi.org/10.1148/radiol.2020200490

5. Chhaya, K., Sandipan, D., Vandana, J.: 7 discovery of robust distributions of COVID-19 spread. In: Use of AI, Robotics, and Modern Tools to Fight Covid-19, pp. 89–110. River Publishers (2021)

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