Table 3.

Comparing supervised and semi-supervised learning performances

	AUC ROC	PPVa	NPVa			AUC ROC	PPVa	NPVa
AD	0.886	0.667	0.913	SSTL	Epilepsy	0.960	0.909	0.857	SSTL
	1%	−8%	4%	Δ1		1%	−3%	13%	Δ1
	0.836	0.533	0.870	SSSL		0.959	0.923	0.968	SSSL
	−1%	1%	−2%	Δ2		−1%	−3%	9%	Δ2
AFIB	0.914	0.925	0.739	SSTL	Gout	0.925	1.000	0.286	SSTL
	−1%	−1%	40%	Δ1		1%	0%	157%	Δ1
	0.890	0.949	0.750	SSSL		0.975	0.930	1.000	SSSL
	−4%	17%	−18%	Δ2		−1%	−7%	350%	Δ2
Asthma	0.806	0.789	0.827	SSTL	HTN	0.809	0.918	0.565	SSTL
	−5%	−16%	22%	Δ1		−10%	−3%	6%	Δ1
	0.748	0.733	0.717	SSSL		0.825	0.945	0.574	SSSL
	−10%	−22%	6%	Δ2		−7%	7%	−20%	Δ2
BD	0.813	0.706	0.800	SSTL	RA	0.962	0.714	0.917	SSTL
	−4%	−3%	9%	Δ1		−1%	2%	−7%	Δ1
	0.805	0.609	0.828	SSSL		0.932	0.704	0.981	SSSL
	−4%	−6%	2%	Δ2		−4%	−25%	5%	Δ2
BrCa	0.962	0.933	0.750	SSTL	SCZ	0.909	0.316	1.000	SSTL
	0%	0%	0%	Δ1		4%	−5%	7%	Δ1
	0.919	1.000	0.688	SSSL		0.808	0.200	0.894	SSSL
	−4%	17%	−28%	Δ2		0%	−75%	10%	Δ2
CAD	0.926	0.879	0.952	SSTL	Stroke	0.905	0.708	0.921	SSTL
	−5%	3%	0%	Δ1		3%	−10%	13%	Δ1
	0.973	0.829	0.950	SSSL		0.851	0.750	0.826	SSSL
	1%	−8%	1%	Δ2		1%	0%	−6%	Δ2
CD	0.968	1.000	0.816	SSTL	T1DM	0.961	0.833	0.914	SSTL
	0%	0%	0%	Δ1		0%	−5%	−3%	Δ1
	0.956	0.912	0.933	SSSL		0.988	0.833	1.000	SSSL
	−1%	−3%	6%	Δ2		−1%	−17%	7%	Δ2
CHF	0.857	0.667	0.870	SSTL	T2DM	0.913	0.973	0.872	SSTL
	−1%	33%	−3%	Δ1		−4%	8%	−1%	Δ1
	0.777	0.450	0.914	SSSL		0.892	0.923	0.867	SSSL
	−7%	−25%	5%	Δ2		−5%	−5%	12%	Δ2
COPD	0.849	0.583	0.900	SSTL	UC	0.926	0.926	0.912	SSTL
	−2%	−5%	6%	Δ1		−2%	14%	−2%	Δ1
	0.850	0.583	0.900	SSSL		0.964	0.917	0.838	SSSL
	−2%	−10%	6%	Δ2		1%	4%	−2%	Δ2
Δ1					Δ2
average	−1%	0%	14%		average	−3%	−9%	19%
std	3%	11%	37%	SSTL	std	3%	20%	83%	SSSL

Δ₁ is the delta between semi-supervised and supervised learning performances in the transfer learning approach.

Δ₂ is the delta between semi-supervised and supervised learning performances in the self-learning approach.

^aNPV and PPV values are computed at operating point 0.5.