Subgroup classification model identifying the most influential factors in the mortality of patients with COVID-19 using data analysis

Carlos Pena, Florencio Peralta, Remigio Hurtado

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

This research assesses the health conditions of the people in the study and determines the reason why a person dies after being infected with COVID-19. In this study, 538 sample groups that provided medical data from people in different locations were analyzed. The biggest challenge in this study was to carry out 2 different criteria within the same data set to conclude that the mortality of the persons inside a group depends more than anything on the age of the person at risk and the presence of one or more other health disorders of the primary disease, which in this case is COVID-19. For this study, the public data set 'COVID analytics' was used, which provided all the necessary medical information and the classification of the groups, which are then interpreted as useful labels to better deduce the degree of mortality of the affected person. After completing the data analysis, it is determined that the factors that aggravate the condition of a patient with COVID-19 are: hypertension, advanced age and any other disease.

Idioma originalInglés
Título de la publicación alojada2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728199535
DOI
EstadoPublicada - 4 nov. 2020
Evento2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020 - Ixtapa, México
Duración: 4 nov. 20206 nov. 2020

Serie de la publicación

Nombre2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020

Conferencia

Conferencia2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020
País/TerritorioMéxico
CiudadIxtapa
Período4/11/206/11/20

Nota bibliográfica

Publisher Copyright:
© 2020 IEEE.

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