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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| 主要な著者: | , |
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| フォーマット: | Online |
| 言語: | spa |
| 出版事項: |
Universidad Autónoma de Baja California
2021
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| オンライン･アクセス: | https://recit.uabc.mx/index.php/revista/article/view/134 |
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