Table 5.

The performance of SVM, logistic regression, BQ, NoSAS Score, and SLIM scoring system at three AHI cutoffs

Model	AHI cutoff (/h)	Feature no.	AUROC	F1 factor	Accuracy (%)	Sensitivity (%)	Specificity (%)	PPV (%)	NPV (%)	LR+	LR−
SVM	≥5	2	0.82 (0.79–0.85)	0.83 (0.81–0.85)	74.24 (71.59– 76.89)	74.14 (71.33– 76.95)	74.71 (70.88– 78.54)	93.23 (92.17– 94.29)	38.15 (34.79– 41.52)	2.96 (2.52– 3.41)	0.35 (0.30– 0.40)
	≥15	6	0.80 (0.79–0.81)	0.77 (0.74–0.80)	72.68 (70.52– 74.84)	75.18 (67.61– 82.76)	68.73 (61.72– 75.75)	79.32 (76.84– 81.80)	64.03 (59.75– 68.31)	2.45 (2.04– 2.87)	0.36 (0.29– 0.43)
	≥30	6	0.78 (0.77–0.80)	0.66 (0.61–0.70)	70.28 (68.68– 71.88)	70.26 (60.21– 80.31)	70.30 (64.18– 76.43)	61.93 (59.21– 64.35)	77.86 (73.68– 82.03)	2.39 (2.14– 2.64)	0.42 (0.32– 0.52)
LR	≥5	7	0.84 (0.83–0.86)	—	73.77	94.41	37.87	72.55	79.56	1.52	0.15
	≥15	10	0.81 (0.80–0.82)	—	72.14	79.94	62.69	72.21	72.03	2.14	0.32
	≥30	10	0.79 (0.78–0.81)	—	72.83	65.01	78.77	69.94	74.77	3.06	0.44
BQ	≥5	—	0.54 (0.52–0.56)	—	67.58	74.95	32.91	84.01	21.89	1.11	0.76
	≥15	—	0.53 (0.52–0.55)	—	58.39	76.09	30.41	63.34	44.58	1.09	0.79
	≥30	—	0.53 (0.51–0.54)	—	48.09	76.68	28.55	42.31	64.17	1.07	0.81
NoSAS Score	≥5	4	0.70 (0.68–0.71)	—	57.25	50.62	88.39	95.31	27.58	4.36	0.56
	≥15	4	0.68 (0.67–0.70)	—	66.01	57.99	78.67	81.13	54.23	2.72	0.53
	≥30	4	0.68 (0.67–0.69)	—	68.30	64.88	70.64	60.16	74.64	2.20	0.50
SLIM (10 size)	≥5	10	0.69 (0.67–0.70)	0.63	54.68	47.10	90.30	95.80	26.64	4.86	0.59
	≥15	10	0.68 (0.67–0.69)	0.65	64.77	54.33	81.27	82.10	52.96	2.90	0.56
	≥30	10	0.68 (0.67–0.70)	0.62	69.40	62.24	74.29	62.33	74.22	2.42	0.51

The data were presented as mean (95% confidence interval). LR, logistic regression.