Author: Garcia-Samaniego, J. M.; Gomez A, H. F.; Benitez, J. A.; Lozada T, E. F.
Title: COVID-19 Cases—Deaths: First Approach to the Ecuadorian Instance Cord-id: 2g41f68b Document date: 2022_1_1
ID: 2g41f68b
Snippet: 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 mac
Document: 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. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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