Table 1.

AUCs of the raw feature $x$, the normalized feature $z$, the PheNorm scores using SAFE feature for denoising with a dropout rate of 0.3, ${\text{PheNorm}}_{\text{vote}}$, the supervised algorithms trained with SAFE features with N = 100, 200, or 300 labels, as well as the XPRESS and Anchor algorithms.

	CAD	RA	CD	UC
$x_{\mathit{ICD}}$	0.844	0.868	0.824	0.812	Comparison is with the previous step; asterisk indicates positive increment at the significance level of 0.05.
$z_{\mathit{ICD}}$	${0.875}_{0.010}^{0.031*}$	${0.901}_{0.008}^{0.033*}$	${0.877}_{0.013}^{0.053\text{*}}$	${0.859}_{0.012}^{0.047\text{*}}$
${\mathit{PheNorm}}_{\mathit{ICD}}$	${0.899}_{0.004}^{0.024*}$	${0.929}_{0.009}^{0.028\text{*}}$	${0.911}_{0.005}^{0.033\text{*}}$	${0.900}_{0.005}^{0.041\text{*}}$
$x_{\mathit{NLP}}$	0.840	0.898	0.906	0.904
$z_{\mathit{NLP}}$	${0.864}_{0.011}^{0.025*}$	${0.923}_{0.011}^{0.025\text{*}}$	${0.947}_{0.007}^{0.041\text{*}}$	${0.931}_{0.006}^{0.026\text{*}}$
${\mathit{PheNorm}}_{\mathit{NLP}}$	${0.884}_{0.003}^{0.019*}$	${0.937}_{0.005}^{0.014\text{*}}$	${0.948}_{0.004}^{0.001}$	${0.935}_{0.002}^{0.004\text{*}}$
$x_{\mathit{ICDNLP}}$	$0.865$	$0.903$	$0.902$	$0.901$
$z_{\mathit{ICDNLP}}$	${0.895}_{0.008}^{0.030*}$	${0.935}_{0.009}^{0.032\text{*}}$	${0.944}_{0.008}^{0.042\text{*}}$	${0.933}_{0.007}^{0.032\text{*}}$
${\mathit{PheNorm}}_{\mathit{ICDNLP}}$	${0.899}_{0.002}^{0.004*}$	${0.936}_{0.002}^{0.001}$	${0.945}_{0.002}^{0.001}$	${0.935}_{0.002}^{0.002}$
${\mathit{PheNorm}}_{\mathit{vote}}$	0.899	0.937	0.945	0.933
100 labels	${0.902}_{0.013}^{0.003}$	${0.924}_{0.012}^{-0.012}$	${0.938}_{0.008}^{-0.007}$	${0.941}_{0.010}^{0.006}$	Comparison is with ${\mathit{PheNorm}}_{\mathit{ICDNLP}}$; asterisk indicates difference at the significance level of 0.05.
200 labels	${0.910}_{0.013}^{0.011}$	${0.933}_{0.014}^{-0.003}$	${0.941}_{0.009}^{-0.004}$	${0.946}_{0.010}^{0.011}$
300 labels	${0.913}_{0.015}^{0.014}$	${0.935}_{0.018}^{-0.000}$	${0.943}_{0.011}^{-0.002}$	${0.946}_{0.012}^{0.012}$
XPRESS	${0.836}_{0.012}^{-0.063\text{*}}$	${0.896}_{0.012}^{-0.040\text{*}}$	${0.905}_{0.009}^{-0.039\text{*}}$	${0.913}_{0.008}^{-0.022\text{*}}$
Anchor	${0.863}_{0.040}^{-0.035\text{*}}$	${0.890}_{0.017}^{-0.045\text{*}}$	${0.895}_{0.014}^{-0.050\text{*}}$	${0.866}_{0.017}^{-0.069\text{*}}$

Comparisons are shown in the form ${\text{AUC}}_{\text{se}(\Delta \text{AUC})}^{\Delta \text{AUC}}$, where the superscript is the increment in AUC and the subscript is the standard error of the difference in AUC.