Prediction of Coronary Artery Calcium Score Using Machine Learning in a Healthy Population.

Jongseok LeeJae-Sung LimYounggi ChuChang Hee LeeOhk-Hyun RyuHyun Hee ChoiYong-Soon ParkChulho Kim

Published in: Journal of personalized medicine (2020)

Xgboost ML algorithm was found to be a more reliable predictor of CACS in healthy participants compared to the BLR algorithm. ML algorithms may be useful for predicting CACS with only laboratory data in healthy participants.

Keyphrases

machine learning
coronary artery
deep learning
artificial intelligence
neural network
pulmonary hypertension
pulmonary arterial hypertension