A machine learning based approach to identify carotid subclinical atherosclerosis endotypes.

Qiao Sen ChenOtto BergmanLouise ZieglerDamiano BaldassarreFabrizio VegliaElena TremoliRona J StrawbridgeAntonio GalloMatteo PirroAndries J SmitSudhir KurlKai SavonenLars LindPer ErikssonBruna Gigantenull null

Published in: Cardiovascular research (2023)

We report four replicable subclinical carotid atherosclerosis-endotypes associated with progression of atherosclerosis and ASCVD risk in two independent populations. Our approach based on endotypes can be applied for precision medicine in ASCVD prevention.

Keyphrases

machine learning
cardiovascular disease
artificial intelligence
big data
genetic diversity