Table 3 AUROC within subpopulation in the internal-holdout dataset for detecting elevated mPCWP

From: Artificial intelligence for hemodynamic monitoring with a wearable electrocardiogram monitor

Patient Subgroups

AUROC (number of samples)

Internal-holdout set

External-validation set

HF & transplant

0.82 \(\pm\) 0.0005 (979)

0.78 \(\pm\) 0.0001 (3662)

Heart failure

0.66 \(\pm\) 0.001 (552)

0.62 \(\pm\) 0.0004 (1340)

Post cardiac transplant

0.57 \(\pm\) 0.002 (427)

0.69 \(\pm\) 0.0004 (2322)

Coronary artery disease

0.71 \(\pm\) 0.003 (163)

0.65 \(\pm\) 0.002 (390)

Pulmonary hypertension

0.71 \(\pm\) 0.009 (62)

0.69 \(\pm\) 0.01 (57)

Valvular disease

0.63 \(\pm\) 0.01 (60)

0.68 \(\pm\) 0.005 (122)

Other pulmonary disease

0.83 \(\pm\) 0.01 (37)

0.65 \(\pm\) 0.004 (226)

Other

0.94 \(\pm\) 0.007 (31)

0.80 \(\pm\) 0.004 (114)

  1. Subgroups with more than 10 samples in both datasets, and at least 1 point in each class, are included (HF = heart failure). Error values correspond to the standard error of the mean.