Modelo De Predicción De Decesos Basado En Aprendizaje Artificial Supervisado

Abstract

This research aims to cover a need to predict the behavior of the number of deaths in a country that has ended quarantine due to Covid-19.To achieve this, a backpropagation neural network was used as a prediction tool. Taking a public database the country Denmark's death data from Covid-19, with the data accumulated in the range of March 16, 2020 to May 10, 2020 being the inputs for the neural network, managing to predict for May 11, 2020 a cumulative of 209 deaths, implying a forecast of 2 deaths of error according to those that have actually been published of accumulated of 210 deaths. This result represents 98.8% effectiveness.