Predicting COVID-19 Spread Level using Socio-Economic Indicators and Machine Learning Techniques
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DOI: 10.1109/SMART-TECH49988.2020.00041
Note: View the original document on HAL open archive server: https://hal.science/hal-03002886
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More about this item
Keywords
covid-19; socio-economic indicators; data preprocessing; spread level prediction; machine learning; country classification; coronavirus; SARS-CoV-2; feature importance;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2021-01-18 (Big Data)
- NEP-CMP-2021-01-18 (Computational Economics)
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