Machine-learning-based COVID-19 mortality prediction model and identification of patients at low and high risk of dying.
Journal:
Critical care (London, England)
Published Date:
Sep 8, 2021
Abstract
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic caused by the SARS-Cov2 virus has become the greatest health and controversial issue for worldwide nations. It is associated with different clinical manifestations and a high mortality rate. Predicting mortality and identifying outcome predictors are crucial for COVID patients who are critically ill. Multivariate and machine learning methods may be used for developing prediction models and reduce the complexity of clinical phenotypes.