Hypothesis-Agnostic Network-Based Analysis of Real-World Data Suggests Ondansetron is Associated with Lower COVID-19 Any Cause Mortality.

Gregory M MillerJ Austin EllisRangaprasad SarangarajanAmay ParikhLeonardo O RodriguesCan BruceNischal Mahaveer ChandSteven R SmithKris RichardsonRaymond VazquezMichael A KiebishChandran HaneeshElder GrangerJudy HoltzJacob HinkleNiven R NarainBret GoodpasterJeremy C SmithDaniel S Lupu

Published in: Drugs - real world outcomes (2022)

The results demonstrate how a real-world COVID-19-focused data analysis using artificial intelligence can generate unexpected yet valid insights that could possibly support clinical decision making and minimize the future loss of lives and resources.

Keyphrases

artificial intelligence
big data
coronavirus disease
sars cov
machine learning
decision making
electronic health record
deep learning
respiratory syndrome coronavirus
cardiovascular events
current status
risk factors