Analysis of the open database of the General Directorate of Epidemiology using Deep Learning to predict the need for intubation in patients hospitalized for COVID-19
Using deep learning, the aim is to determine the possibility that a patient hospitalized by COVID-19 suffers from respiratory failure and needs to be mechanically ventilated in a medical intensive care unit (ICU). The deep analysis is performed by training the Sequential Neural Networks algorithm, s...
Guardado en:
| Autores principales: | Rivera-Ceniceros, Omar Fabián, Ordaz-Díaz, Luis Alberto |
|---|---|
| Formato: | Online |
| Lenguaje: | spa |
| Publicado: |
Universidad Autónoma de Baja California
2021
|
| Acceso en línea: | https://recit.uabc.mx/index.php/revista/article/view/134 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Obstacles to patient mobility in Mercosur border areas: a typology proposal
por: Berzi, Matteo, et al.
Publicado: (2021) -
Time series prediction using artificial neural networks
por: Pérez-Chavarría, MA, et al.
Publicado: (2002) -
Strategies of people with HIV to confront the stigma associated with HIV/aids. Patients of the general hospital of Huixtla, Chiapas
por: Chong Villarreal, Francisco, et al.
Publicado: (2012) -
Strategies of people with HIV to confront the stigma associated with HIV/aids. Patients of the general hospital of Huixtla, Chiapas
por: Chong Villarreal, Francisco, et al.
Publicado: (2012) -
Predictive Model to Identify College Students with High Dropout Rates
por: Hoyos Osorio, Jhoan Keider, et al.
Publicado: (2023)
@UABCInstitucional
UABC_Oficial
@UABC_Oficial