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; Jhonatan Isaac Vargas Huaman

doi:10.18687/LACCEI2021.1.1.358

Modelo de predicción de decesos basado en aprendizaje artificial supervisado

Translated title of the contribution: Death prediction model based on supervised artificial learning

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, Jhonatan Isaac Vargas Huaman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Translated title of the contribution	Death prediction model based on supervised artificial learning
Original language	Spanish
Title of host publication	19th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
Subtitle of host publication	"Prospective and Trends in Technology and Skills for Sustainable Social Development" and "Leveraging Emerging Technologies to Construct the Future", LACCEI 2021 - Proceedings
Editors	Maria M. Larrondo Petrie, Luis Felipe Zapata Rivera, Catalina Aranzazu-Suescun
Publisher	Latin American and Caribbean Consortium of Engineering Institutions
ISBN (Electronic)	9789585207189
DOIs	https://doi.org/10.18687/LACCEI2021.1.1.358
State	Published - 1 Jan 2021
Event	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 - Virtual, Online Duration: 19 Jul 2021 → 23 Jul 2021

Publication series

Name	Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volume	2021-July
ISSN (Electronic)	2414-6390

Conference

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
City	Virtual, Online
Period	19/07/21 → 23/07/21

Access to Document

10.18687/LACCEI2021.1.1.358

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Eduardo, H. Z. R., Yensi, V. L., Patricia, R. V. M., Aradiel, C. H., José, F. M. E., Cesar, L. F. A., Huaman, J. I. V., Yensi, V. L., Patricia, R. V. M., & Huaman, J. I. V. (2021). Modelo de predicción de decesos basado en aprendizaje artificial supervisado. In M. M. Larrondo Petrie, L. F. Zapata Rivera, & C. Aranzazu-Suescun (Eds.), 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 - Proceedings (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2021-July). Latin American and Caribbean Consortium of Engineering Institutions. https://doi.org/10.18687/LACCEI2021.1.1.358

Eduardo, Huarote Zegarra Raúl ; Yensi, Vega Luján ; Patricia, Romero Valencia Mónica et al. / Modelo de predicción de decesos basado en aprendizaje artificial supervisado. 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 - Proceedings. editor / Maria M. Larrondo Petrie ; Luis Felipe Zapata Rivera ; Catalina Aranzazu-Suescun. Latin American and Caribbean Consortium of Engineering Institutions, 2021. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology).

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title = "Modelo de predicci{\'o}n 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.",

keywords = "Backpropagation, Covid-19, Decesses, Neural network, Pandemic, Quarantine",

author = "Eduardo, {Huarote Zegarra Ra{\'u}l} and Yensi, {Vega Luj{\'a}n} and Patricia, {Romero Valencia M{\'o}nica} and Aradiel, {Casta{\~n}eda Hilario} and Jos{\'e}, {Flores Mas{\'i}as Edward} and Cesar, {Larios Franco Alfredo} and Huaman, {Jhonatan Isaac Vargas} and Yensi, {Vega Luj{\'a}n} and Patricia, {Romero Valencia M{\'o}nica} and Huaman, {Jhonatan Isaac Vargas}",

note = "Publisher Copyright: {\textcopyright} 2021 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.; 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 ; Conference date: 19-07-2021 Through 23-07-2021",

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doi = "10.18687/LACCEI2021.1.1.358",

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series = "Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology",

publisher = "Latin American and Caribbean Consortium of Engineering Institutions",

editor = "{Larrondo Petrie}, {Maria M.} and {Zapata Rivera}, {Luis Felipe} and Catalina Aranzazu-Suescun",

booktitle = "19th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology",

}

Eduardo, HZR, Yensi, VL, Patricia, RVM, Aradiel, CH, José, FME, Cesar, LFA, Huaman, JIV, Yensi, VL, Patricia, RVM & Huaman, JIV 2021, Modelo de predicción de decesos basado en aprendizaje artificial supervisado. in MM Larrondo Petrie, LF Zapata Rivera & C Aranzazu-Suescun (eds), 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 - Proceedings. Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology, vol. 2021-July, Latin American and Caribbean Consortium of Engineering Institutions, 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, Virtual, Online, 19/07/21. https://doi.org/10.18687/LACCEI2021.1.1.358

Modelo de predicción de decesos basado en aprendizaje artificial supervisado. / Eduardo, Huarote Zegarra Raúl; Yensi, Vega Luján; Patricia, Romero Valencia Mónica et al.
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 - Proceedings. ed. / Maria M. Larrondo Petrie; Luis Felipe Zapata Rivera; Catalina Aranzazu-Suescun. Latin American and Caribbean Consortium of Engineering Institutions, 2021. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology; Vol. 2021-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Modelo de predicción de decesos basado en aprendizaje artificial supervisado

AU - Eduardo, Huarote Zegarra Raúl

AU - Yensi, Vega Luján

AU - Patricia, Romero Valencia Mónica

AU - Aradiel, Castañeda Hilario

AU - José, Flores Masías Edward

AU - Cesar, Larios Franco Alfredo

AU - Huaman, Jhonatan Isaac Vargas

AU - Yensi, Vega Luján

AU - Patricia, Romero Valencia Mónica

AU - Huaman, Jhonatan Isaac Vargas

PY - 2021/1/1

Y1 - 2021/1/1

N2 - 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.

AB - 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.

KW - Backpropagation

KW - Covid-19

KW - Decesses

KW - Neural network

KW - Pandemic

KW - Quarantine

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U2 - 10.18687/LACCEI2021.1.1.358

DO - 10.18687/LACCEI2021.1.1.358

M3 - Contribución a la conferencia

AN - SCOPUS:85122004699

T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology

BT - 19th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology

A2 - Larrondo Petrie, Maria M.

A2 - Zapata Rivera, Luis Felipe

A2 - Aranzazu-Suescun, Catalina

PB - Latin American and Caribbean Consortium of Engineering Institutions

T2 - 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

Y2 - 19 July 2021 through 23 July 2021

ER -

Eduardo HZR, Yensi VL, Patricia RVM, Aradiel CH, José FME, Cesar LFA et al. Modelo de predicción de decesos basado en aprendizaje artificial supervisado. In Larrondo Petrie MM, Zapata Rivera LF, Aranzazu-Suescun C, editors, 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 - Proceedings. Latin American and Caribbean Consortium of Engineering Institutions. 2021. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology). doi: 10.18687/LACCEI2021.1.1.358

Modelo de predicción de decesos basado en aprendizaje artificial supervisado

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