Personalized prediction of adverse heart and kidney events using baseline and longitudinal data from SPRINT and ACCORD.

Gal DinstagDavid AmarErik IngelssonEuan AshleyRon Shamir

Published in: PloS one (2019)

Our study illustrates the importance of including longitudinal data for assessing personalized risk and provides means for recommending personalized treatment decisions.

Keyphrases

electronic health record
big data
cross sectional
heart failure
high intensity
emergency department
data analysis
combination therapy
deep learning
smoking cessation