Table 5.

Result of 3 latent classes’ conditional logit analysis.

Attributes and levels		Class 1, n=174 (40.7%)			Class 2, n=30 (7.0%)			Class 3, n=224 (52.3%)
		Coefficient	SE	P value	Coefficient	SE	P value	Coefficient	SE	P value
Diagnostic methods
	Clinician	0.062	0.083	.046	−0.175	0.282	.54	−0.153	0.050	.003
	AI + clinician	0.282	0.082	<.001	−0.085	0.287	.77	0.518	0.052	<.001
	AI	−0.344	0.085	<.001	0.260	0.286	.37	−0.365	0.051	<.001
Outpatient waiting time (min)
	0	0.530	0.128	<.001	−0.385	0.476	.43	−0.028	0.077	.72
	20	0.147	0.124	.24	−0.128	0.422	.76	0.351	0.079	<.001
	40	−0.057	0.132	.67	0.819	0.365	.03	0.091	0.080	.25
	60	−0.095	0.127	.45	−0.330	0.455	.48	−0.314	0.079	<.001
	80	−0.526	0.122	<.001	0.023	0.414	.96	−0.100	0.079	.20
Diagnosis time (min)
	0	−0.117	0.084	.17	0.317	0.280	.27	−0.021	0.051	.68
	15	0.089	0.082	.28	−0.481	0.345	.17	0.018	0.051	.72
	30	0.028	0.082	.73	0.164	0.280	.56	0.003	0.051	.95
Accuracy (%)
	60	−2.337	0.166	<.001	−1.717	0.803	.04	−0.209	0.080	.01
	70	−1.170	0.131	<.001	−0.693	0.555	.22	−0.129	0.078	.10
	80	−0.050	0.112	.65	0.353	0.457	.45	0.034	0.078	.67
	90	1.036	0.122	<.001	0.577	0.406	.17	0.135	0.079	.09
	100	2.522	0.169	<.001	1.480	0.370	<.001	0.170	0.079	.03
Follow-up after diagnosis
	Yes	0.603	0.059	.003	0.250	0.207	.24	0.066	0.031	.04
	No	−0.603	0.059	.03	−0.250	0.207	.24	−0.066	0.031	.035
Diagnostic expenses (¥)a
	0	0.424	0.140	.003	0.313	0.492	.53	0.398	0.090	<.001
	50	0.324	0.143	.03	1.831	0.412	<.001	0.131	0.088	.14
	100	0.289	0.142	.04	−0.228	0.506	.66	0.236	0.090	.009
	150	0.144	0.149	.33	0.284	0.460	.54	−0.102	0.089	.25
	200	−0.361	0.146	.01	−2.106	0.983	.04	−0.123	0.089	.17
	250	−0.819	0.144	<.001	−0.093	0.533	.86	−0.538	0.091	<.001

^aA currency exchange rate of ¥1=US $0.15 is applicable.