Machine learning models for the prediction of the SEIRD variables for the COVID-19 pandemic based on a deep dependence analysis of variables

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Quintero, Yullis [1 ]
Ardila, Douglas [1 ]
Camargo, Edgar [5 ,6 ]
Rivas, Francklin [2 ,3 ,6 ]
Aguilar, Jose [1 ,2 ,4 ,6 ]
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[1] GIDITIC, Universidad EAFIT, Colombia
[2] CEMISID, Universidad de Los Andes, Venezuela
[3] Universidad Técnica Federico Santa María Valparaíso, Chile
[4] Universidad de Alcalá, Dpto. de Automática, España, Spain
[5] Cobuild Lab, Miami, United States
[6] Tepuy R+D Group Artificial Intelligence Software Development, Venezuela
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