Machine learning models for the prediction of the SEIRD variables for the COVID-19 pandemic based on a deep dependence analysis of variables
Date Issued
2021-07
Author(s) USM
Rivas, Francklin
DOI
10.1016/j.compbiomed.2021.104500
Abstract
The SEIRD (Susceptible, Exposed, Infected, Recovered, and Dead) model is a mathematical model based on dynamic equations; widely used for characterization of the COVID-19 pandemic. In this paper, a different approach has been discussed, which is the devel
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