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Predictors of mechanical ventilation and mortality in critically ill patients with COVID-19 pneumonia

Sergio Muñoz Lezcano1, Miguel Ángel Armengol de la Hoz2, Alberto Corbi3

  • 1PhD Student of the Program in Computer Science, Universidad Internacional de La Rioja (UNIR), Avenida de La Paz, 137, 26006 Logroño, La Rioja, Spain.

Medicina Intensiva
|July 27, 2023
PubMed
Abstract

Keywords:
Acute respiratory distress syndromeAprendizaje automáticoArtificial intelligenceCOVID-19Inteligencia artificilalInvasive mechanical ventilationMachine learningPredictoresPredictorsSíndrome de distrés respiratorio agudoVentilación mecánica invasiva

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