Deep Survival Analysis With Clinical Variables for COVID-19.

Ahmad ChaddadLama HassanYousef KatibAhmed Bouridane

Published in: IEEE journal of translational engineering in health and medicine (2023)

The findings indicate that using both Heparin and Exnox for treatment is typically the most useful factor in predicting a patient's chances of survival from COVID-19. Moreover, our predictive model shows that the combination of AI and clinical data can be applied to point-of-care services through fast-learning healthcare systems.

Keyphrases

healthcare
coronavirus disease
sars cov
primary care
venous thromboembolism
artificial intelligence
free survival
case report
machine learning
respiratory syndrome coronavirus
social media