. Author manuscript; available in PMC: 2020 Apr 1.

Published in final edited form as: JACC Cardiovasc Imaging. 2018 Jun 13;12(4):681–689. doi: 10.1016/j.jcmg.2018.04.026

TABLE 1.

Comparing baseline clinical scores with machine learning in 5-year mortality prediction.

Patient population	Predictive models	Area under ROC curve
All patients	Framingham Risk Score	0.61
	ACC/AHA guideline score	0.74
	Charlson Comorbidity Index	0.79
	Machine learning with echocardiographic measurements	0.89
15942 patients with heart failure	Seattle Heart Failure Model	0.63
15942 patients with heart failure	Machine learning with echocardiographic measurements	0.80

ROC = receiver operating characteristic.