Modelo de predicción de decesos basado en aprendizaje artificial supervisado

Huarote Zegarra Raúl Eduardo, Vega Luján Yensi, Romero Valencia Mónica Patricia, Castañeda Hilario Aradiel, Flores Masías Edward José, Larios Franco Alfredo Cesar, Jhonatan Isaac Vargas Huaman, Vega Luján Yensi, Romero Valencia Mónica Patricia, Castañeda Hilario Aradiel, Jhonatan Isaac Vargas Huaman

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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.

Título traducido de la contribuciónDeath prediction model based on supervised artificial learning
Idioma originalEspañol
Título de la publicación alojada19th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
Subtítulo de la publicación alojada"Prospective and Trends in Technology and Skills for Sustainable Social Development" and "Leveraging Emerging Technologies to Construct the Future", LACCEI 2021 - Proceedings
EditoresMaria M. Larrondo Petrie, Luis Felipe Zapata Rivera, Catalina Aranzazu-Suescun
EditorialLatin American and Caribbean Consortium of Engineering Institutions
ISBN (versión digital)9789585207189
DOI
EstadoPublicada - 2021
Evento19th 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 - Virtual, Online
Duración: 19 jul. 202123 jul. 2021

Serie de la publicación

NombreProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volumen2021-July
ISSN (versión digital)2414-6390

Conferencia

Conferencia19th 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
CiudadVirtual, Online
Período19/07/2123/07/21

Palabras clave

  • Backpropagation
  • Covid-19
  • Decesses
  • Neural network
  • Pandemic
  • Quarantine

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