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
artificial intelligence
case report
free survival
electronic health record
growth factor
respiratory syndrome coronavirus
machine learning
big data
social media
data analysis
smoking cessation