Work

Machine learning to predict intubation in COVID-19 patients

Year: 2022

Type: article

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.

Source: Journal of Clinical Case Reports and Studies

DOI: 10.31579/2690-8808/124

Author: Hiba Hamda

Institution: Medical University Plovdiv

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4283832461