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COVID-19 Cases—Deaths: First Approach to the Ecuadorian Instance

Abstract:

The global pandemic caused by COVID-19 is of global concern; therefore, it is vitally important to identify the effects of the virus. In the present work, we work with neural networks to predict the effect of cases versus deaths in Ecuador. The experimental data were collected from official reports from March to May 2020, which served to predict the relationship between the parameters considered. This work is still under development, but it is very important when proposing algorithms based on machine learning and artificial intelligence as decision-making mechanisms.