Análisis de Datos COVID-19 Utilizando Algoritmos de Inteligencia Artificial

A. Elda Y. Martinez-Escobar; B. Jose M. Celaya-Padilla; Antonio Martinez-Torteya; C. Ireri A. Sustaita-Torres; Manuel A. Murillo-Soto; Jorge I. Galvan-Tejada

doi:10.1109/IEEECONF60929.2023.10525301

Análisis de Datos COVID-19 Utilizando Algoritmos de Inteligencia Artificial

A. Elda Y. Martinez-Escobar, B. Jose M. Celaya-Padilla, Antonio Martinez-Torteya, C. Ireri A. Sustaita-Torres, Manuel A. Murillo-Soto, Jorge I. Galvan-Tejada

Universidad de Monterrey

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

Abstract

The COVID-19 pandemic has markedly catalyzed the advancement of innovative tools. With the aim of crafting resilient predictive models, an extensive training process has been executed to anticipate the risk of mortality or survival associated with the categories of moderate/severe hospitalization and critical patient cases.

Original language	English
Title of host publication	2023 IEEE EMBS R9 Conference, EMBS R9 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350381092
DOIs	https://doi.org/10.1109/IEEECONF60929.2023.10525301
Publication status	Published - 2023
Event	2023 IEEE EMBS R9 Conference, EMBS R9 2023 - Guadalajara, Mexico Duration: 5 Oct 2023 → 7 Oct 2023

Publication series

Name	2023 IEEE EMBS R9 Conference, EMBS R9 2023

Conference

Conference	2023 IEEE EMBS R9 Conference, EMBS R9 2023
Country/Territory	Mexico
City	Guadalajara
Period	5/10/23 → 7/10/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Vision and Pattern Recognition
Human-Computer Interaction
Media Technology
Control and Optimization
Modelling and Simulation
Health Informatics
Instrumentation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IEEECONF60929.2023.10525301

Cite this

Martinez-Escobar, A. E. Y., Celaya-Padilla, B. J. M., Martinez-Torteya, A., Sustaita-Torres, C. I. A., Murillo-Soto, M. A., & Galvan-Tejada, J. I. (2023). Análisis de Datos COVID-19 Utilizando Algoritmos de Inteligencia Artificial. In 2023 IEEE EMBS R9 Conference, EMBS R9 2023 (2023 IEEE EMBS R9 Conference, EMBS R9 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEEECONF60929.2023.10525301

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title = "An{\'a}lisis de Datos COVID-19 Utilizando Algoritmos de Inteligencia Artificial",

abstract = "The COVID-19 pandemic has markedly catalyzed the advancement of innovative tools. With the aim of crafting resilient predictive models, an extensive training process has been executed to anticipate the risk of mortality or survival associated with the categories of moderate/severe hospitalization and critical patient cases.",

author = "Martinez-Escobar, {A. Elda Y.} and Celaya-Padilla, {B. Jose M.} and Antonio Martinez-Torteya and Sustaita-Torres, {C. Ireri A.} and Murillo-Soto, {Manuel A.} and Galvan-Tejada, {Jorge I.}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE EMBS R9 Conference, EMBS R9 2023 ; Conference date: 05-10-2023 Through 07-10-2023",

year = "2023",

doi = "10.1109/IEEECONF60929.2023.10525301",

language = "English",

series = "2023 IEEE EMBS R9 Conference, EMBS R9 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 IEEE EMBS R9 Conference, EMBS R9 2023",

address = "United States",

}

Martinez-Escobar, AEY, Celaya-Padilla, BJM, Martinez-Torteya, A, Sustaita-Torres, CIA, Murillo-Soto, MA & Galvan-Tejada, JI 2023, Análisis de Datos COVID-19 Utilizando Algoritmos de Inteligencia Artificial. in 2023 IEEE EMBS R9 Conference, EMBS R9 2023. 2023 IEEE EMBS R9 Conference, EMBS R9 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE EMBS R9 Conference, EMBS R9 2023, Guadalajara, Mexico, 5/10/23. https://doi.org/10.1109/IEEECONF60929.2023.10525301

Análisis de Datos COVID-19 Utilizando Algoritmos de Inteligencia Artificial. / Martinez-Escobar, A. Elda Y.; Celaya-Padilla, B. Jose M.; Martinez-Torteya, Antonio et al.
2023 IEEE EMBS R9 Conference, EMBS R9 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE EMBS R9 Conference, EMBS R9 2023).

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

TY - GEN

T1 - Análisis de Datos COVID-19 Utilizando Algoritmos de Inteligencia Artificial

AU - Martinez-Escobar, A. Elda Y.

AU - Celaya-Padilla, B. Jose M.

AU - Martinez-Torteya, Antonio

AU - Sustaita-Torres, C. Ireri A.

AU - Murillo-Soto, Manuel A.

AU - Galvan-Tejada, Jorge I.

PY - 2023

Y1 - 2023

N2 - The COVID-19 pandemic has markedly catalyzed the advancement of innovative tools. With the aim of crafting resilient predictive models, an extensive training process has been executed to anticipate the risk of mortality or survival associated with the categories of moderate/severe hospitalization and critical patient cases.

AB - The COVID-19 pandemic has markedly catalyzed the advancement of innovative tools. With the aim of crafting resilient predictive models, an extensive training process has been executed to anticipate the risk of mortality or survival associated with the categories of moderate/severe hospitalization and critical patient cases.

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U2 - 10.1109/IEEECONF60929.2023.10525301

DO - 10.1109/IEEECONF60929.2023.10525301

M3 - Conference contribution

AN - SCOPUS:85193973752

T3 - 2023 IEEE EMBS R9 Conference, EMBS R9 2023

BT - 2023 IEEE EMBS R9 Conference, EMBS R9 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE EMBS R9 Conference, EMBS R9 2023

Y2 - 5 October 2023 through 7 October 2023

ER -

Martinez-Escobar AEY, Celaya-Padilla BJM, Martinez-Torteya A, Sustaita-Torres CIA, Murillo-Soto MA, Galvan-Tejada JI. Análisis de Datos COVID-19 Utilizando Algoritmos de Inteligencia Artificial. In 2023 IEEE EMBS R9 Conference, EMBS R9 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE EMBS R9 Conference, EMBS R9 2023). doi: 10.1109/IEEECONF60929.2023.10525301

Análisis de Datos COVID-19 Utilizando Algoritmos de Inteligencia Artificial

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

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Cite this