Socioeconomic status and modification of atherosclerotic cardiovascular disease risk prediction: epidemiological analysis using data from the atherosclerosis risk in communities study.

Kamal H Henderson Brystana G KaufmanJason S RotterSally StearnsCarla A A SuetaRandi ForakerP Michael HoPatricia P Chang

Published in: BMJ open (2022)

SES modifies the association between PCE estimated risk and absolute risk of ASCVD. SES added into ASCVD risk prediction models as an interaction term may improve our ability to predict absolute ASCVD risk among socially disadvantaged populations.

Keyphrases

cardiovascular disease
preterm infants
machine learning
electronic health record
big data
cardiovascular events
gestational age
data analysis
breast cancer risk
genetic diversity