Skip to main content
. Author manuscript; available in PMC: 2021 Jun 16.
Published in final edited form as: Expert Rev Med Devices. 2020 Jun 16;17(6):565–577. doi: 10.1080/17434440.2020.1777855

Figure 3. ML prediction of all-cause mortality.

Figure 3.

Receiver-operating characteristics curves for prediction of 5-year all-cause mortality: a ML risk score integrating clinical and coronary CTA data had a higher AUC than the Framingham Risk Score (FRS) and CTA severity scores (Segment Stenosis Score [SSS], Segment Involvement Score [SIS], Duke Index [DI]) (p<0.001†). AUC: area under the curve; CTA: computed tomography angiography; ML: machine learning. Reproduced with permission from Motwani et al. (96).