Machine learning methods to predict mechanical ventilation and mortality in patients with COVID-19.

Limin YuAlexandra HalalauBhavinkumar DalalAmr E AbbasFelicia IvascuMitual AminGirish B Nair

Published in: PloS one (2021)

Machine learning models using XGBoost and catBoost algorithms can predict need for mechanical ventilation and mortality with a very high accuracy in COVID-19 patients.

Keyphrases

mechanical ventilation
machine learning
acute respiratory distress syndrome
intensive care unit
cardiovascular events
artificial intelligence
respiratory failure
big data
deep learning
sars cov
risk factors
cardiovascular disease
type diabetes