Covid-19 Projections: A Simple Machine Learning Approach
2021 IEEE International Conference on Engineering Veracruz, ICEV 2021
; 2021.
Article
in English
| Scopus | ID: covidwho-1672742
ABSTRACT
In this work, we present a straightforward way to produce Covid-19 projections by using a machine learning method. Incident and cumulative data for confirmed infected, deaths and vaccinated in Mexico during 2021, are employed to obtain useful projections by using Wolfram Mathematica and Matlab® regression learner app. © 2021 IEEE.
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Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2021 IEEE International Conference on Engineering Veracruz, ICEV 2021
Year:
2021
Document Type:
Article
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