Title
Death prediction model based on supervised artificial learning
Other title
Modelo de predicción de decesos basado en aprendizaje artificial supervisado.
Date Issued
01 January 2021
Access level
open access
Resource Type
conference paper
Author(s)
Eduardo H.Z.R.
Yensi V.L.
Patricia R.V.M.
Aradiel C.H.
José F.M.E.
Huaman J.I.V.
Eduardo H.Z.R.
Yensi V.L.
Patricia R.V.M.
Aradiel C.H.
José F.M.E.
Huaman J.I.V.
Publisher(s)
Latin American and Caribbean Consortium of Engineering Institutions
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.
Volume
2021-July
Language
Spanish
OCDE Knowledge area
Otras ingenierías y tecnologías
Subjects
Scopus EID
2-s2.0-85122004699
Source
Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Resource of which it is part
Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
ISSN of the container
24146390
ISBN of the container
978-958520718-9
Conference
19th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Prospective and Trends in Technology and Skills for Sustainable Social Development" and "Leveraging Emerging Technologies to Construct the Future", LACCEI 2021
Sources of information:
Directorio de Producción Científica
Scopus