Can machine-learning improve cardiovascular risk prediction using routine clinical data?

Stephen F WengJenna RepsJoe KaiJonathan M GaribaldiNadeem Qureshi

Published in: PloS one (2017)

Machine-learning significantly improves accuracy of cardiovascular risk prediction, increasing the number of patients identified who could benefit from preventive treatment, while avoiding unnecessary treatment of others.

Keyphrases

machine learning
end stage renal disease
big data
newly diagnosed
chronic kidney disease
ejection fraction
combination therapy
deep learning
patient reported outcomes