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

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...

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Egile Nagusiak: Rivera-Ceniceros, Omar Fabián, Ordaz-Díaz, Luis Alberto
Formatua: Online
Hizkuntza:spa
Argitaratua: Universidad Autónoma de Baja California 2021
Sarrera elektronikoa:https://recit.uabc.mx/index.php/revista/article/view/134
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https://recit.uabc.mx/index.php/revista/article/view/134

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