Regressive Class Modelling for Predicting Trajectories of COVID-19 Fatalities Using Statistical and Machine Learning Models
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s40840-022-01287-z.pdf
Reference20 articles.
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3. Sahai, A.K., Rath, N., Sood, V., Singh, M.P.: ARIMA modelling & forecasting of COVID-19 in top five affected countries. Diabetes Metab. Syndr.: Clin. Res. Rev. 14(5), 1419–1427 (2020). https://doi.org/10.1016/j.dsx.2020.07.042
4. Dal Molin Ribeiro, M.H., da Silva, R.G., Mariani, V.C., dos Santos Coelho, L.: Short-term forecasting COVID-19 cumulative confirmed cases: perspectives for Brazil Chaos. Solitons Fractals (2020). https://doi.org/10.1016/j.chaos.2020.109853
5. Vena, A., Giacobbe, D. R., Di Biagio, A., Mikulska, M., Taramasso, L., De Maria, A., et. al.: Clinical characteristics, management and in-hospital mortality of patients with coronavirus disease 2019 in Genoa, Italy, Clinical Microbiology and Infection, Available online 15 August 2020, doi: https://doi.org/10.1016/j.cmi.2020.07.049
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