Machine learning to predict intubation in COVID-19 patients

Abstract

COVID-19 infection, identified in December 2019, is a severe acute respiratory syndrome, associated with high rate of mortality among infected population. In some cases, intubation may be the first respiratory support to save patient’s life, and any deletion in making this decision could implicate several clinical outcomes. Machine learning is known to be the first recent technology in the realm of healthcare, that automated in algorithm, based on several clinical, laboratory and demographical predictors and parameters to help in identifying the patients at a higher risk and in need for intubation.